{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c81fbd5c",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Matplotlib的基本功能"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42dcadb1",
   "metadata": {},
   "source": [
    "## 对Matplotlib的基本描述\n",
    "    - 1.Matplotlib类似MATLAB 的绘图工具\n",
    "    - 2.*Figure对象* 就是我们绘图的板子\n",
    "    - 3.*Axes对象* 就是我们每个板子上的一个坐标轴对象。\n",
    "    - 4.一个Figure上可以有多个坐标轴，他们的大小位置都可以自定义。\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "613ea1d8",
   "metadata": {},
   "source": [
    "## 什么是Figure（创建一个画板）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "5578215c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "######https://blog.csdn.net/qq_34859482/article/details/80617391\n",
    "### 在任何绘图之前，我们需要一个Figure对象，可以理解成我们需要一张画板才能开始绘图。\n",
    "\n",
    "# fig 就是我们的Figure对象也就是画板，我们绘画都是在这个对象上作图。\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "fig = plt.figure()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "297ad6a1",
   "metadata": {},
   "source": [
    "## 什么是Axes（如何设置ax的x，y的坐标轴和图的标题名称）\n",
    "    在画板上选择一块区域，那块区域就是Axes，我们可以在指定区域内作画"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bb5fce39",
   "metadata": {},
   "outputs": [],
   "source": [
    "### 在画板上，创建我们的绘图对象Axes\n",
    "# 拥有Figure对象后，我们还需要Axes，去自定义我们的图画\n",
    "# 在图上，我们增加一个Axes对象，并且设置Axes的x，y轴取值范围，和图的标题名称\n",
    "fig = plt.figure()\n",
    "# add_subplot设置Axes的位置 1，1，1\n",
    "# 把fig 分成 a * b 块 当前处于c号 （a,b,c)\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "ax.set(xlim=[0.5,4.5],\n",
    "       ylim=[-2,8],\n",
    "       title='An Example Axes',\n",
    "       ylabel = 'Y-Axis', \n",
    "       xlabel='X-Axis'\n",
    "       )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7eb24cb7",
   "metadata": {},
   "source": [
    "## 创建Axes并设置它在Figure上的大小与位置"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "640bb664",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### 修改图像在Figure上的位置\n",
    "\n",
    "# add_subplot设置Axes的位置 a，b，c\n",
    "# 把fig 分成 a * b 块 当前处于c号 （a,b,c)\n",
    "fig = plt.figure()\n",
    "ax1 = fig.add_subplot(3,3,9)\n",
    "ax2 = fig.add_subplot(3,2,2)\n",
    "ax3 = fig.add_subplot(3,2,3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b6a95ee",
   "metadata": {},
   "source": [
    "## 创建Axes绘图 与 直接使用pyplot  绘图区别"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "e4b1a12d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### plt 直接使用plot函数绘图\n",
    "plt.plot([1, 2, 3, 4], [10, 20, 25, 30], color='lightblue', linewidth=3)\n",
    "plt.xlim(0.5, 4.5)\n",
    "plt.show()\n",
    "\n",
    "### Axes需要，先创建fig，fig再创建ax绘图\n",
    "fig = plt.figure()\n",
    "# add_subplot设置Axes的位置 1，1，1\n",
    "# 把fig 分成 a * b 块 当前处于c号 （a,b,c)\n",
    "ax1 = fig.add_subplot(1,1,1)\n",
    "# ax.set(xlim=[0.5,4.5],\n",
    "#        ylim=[-2,8],\n",
    "#        title='An Example Axes',\n",
    "#        ylabel = 'Y-Axis', \n",
    "#        xlabel='X-Axis'\n",
    "#        )\n",
    "import numpy as np\n",
    "x = np.linspace(0,np.pi)\n",
    "y_sin = np.sin(x)\n",
    "ax1.plot(x,y_sin)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62b4069b",
   "metadata": {},
   "source": [
    "## 创建多个Axes时，我们可以采用另一种方式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "82927072",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "4f33f26d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'a4')]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 快捷生成Axes的方式\n",
    "\n",
    "# plt.subplots(nrows=a,ncols=b)可以创建 a*b个 Axes\n",
    "\n",
    "fig,axes = plt.subplots(nrows=3,ncols=3)\n",
    "\n",
    "# axes[a,b] 第a+1行，第b+1列的axes修改它的属性 \n",
    "\n",
    "axes[0,0].set(title='a1')\n",
    "axes[0,1].set(title='a2')\n",
    "axes[1,0].set(title='a3')\n",
    "axes[1,1].set(title='a4')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0dc5d7d0",
   "metadata": {
    "tags": []
   },
   "source": [
    "# 绘制二维图形"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc3cd0f3",
   "metadata": {},
   "source": [
    "## 绘制折线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e3225642",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f045ef8f550>]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### 绘制折线图\n",
    "# plot绘制折现\n",
    "\n",
    "# 创建数据\n",
    "import numpy as np\n",
    "x = np.linspace(0,np.pi)\n",
    "y_sin = np.sin(x)\n",
    "y_cos = np.cos(x)\n",
    "\n",
    "\n",
    "# 在figure上创建axes对象\n",
    "fig = plt.figure()\n",
    "ax1 = fig.add_subplot(2,2,1)\n",
    "ax2 = fig.add_subplot(2,2,2)\n",
    "ax3 = fig.add_subplot(2,1,2)\n",
    "\n",
    "# 原始\n",
    "ax1.plot(x,y_sin)\n",
    "# 修改1\n",
    "ax2.plot(x,y_sin,'go--',linewidth=2,markersize=12)\n",
    "# 修改2\n",
    "ax3.plot(x,y_cos,color='red',marker='+',linestyle='dashed')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "785b207c",
   "metadata": {},
   "source": [
    "## *用字典来绘图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "8733bbc1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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2eNeqrmHD7H8NI0aEeZXGQAvgBmAJdlYxtZI3eAJ3LgKl51J+zbBh+cyYAQ8/nJg2qbvsAm+9BTvtBN26WZe/ZPHhhzBpEgwZYqdLg1UbuzG5L1bXXgZcCzQP+kIJ4wncuYR6F9gVOwe3jueeU+64w8aDnXde4qJo1crKKe3awXHHwauvJu7a5SkuhsGDrePg4MFBvnIDbDfJadjv/3+BnqRDKyhP4M4lxGrs4McxlMyl/PxzS9qHHgr33pv4iLbe2pL4HnvAiSfCiy8mPobSnnwS3n0Xbr3VTpjWXBa2uh6G/Z5PAPYJ4oWThidw50L3KrAzMJ6S8Wbr18Ppp0OTJvCvf8EWW0QTWYsWMGMG7LOPndqcPDmaOFassC2Thx8OffpU/vzy1cLKJB2BsViZ5HogqbtgVZsncOdCswL7r/opsff/GCpc0nTqiSegdeuIwotp1gxef92aYZ1+OkycmPgYLrsMVq+Ghx6q7r73+rG3U4D/AJ9hO0vStEVjTOoXgZxLOhXPpXzzTetV0q+f3URMBk2awPTpVg/v3RsKC+GccxJz7eees7ebb67OoZ0sLI0NxH6/g596k8yq3I2wJrwboUt/Fc+l/O03G8pbr54dqmnUKNHxVSw/347dz5gBjz4KF1wQ7vUWLIB997XOiu++C3XiWlLWwlbbO2P17VNI95V2IN0InXPlKQbGYNvSCrADOn925ZWweLElq2RL3gANG9oBn5NPhgsvtIR++eXhXKugAE47zXp9T5wYT/KuH/u1OzZ+4IBwAkshnsCdq7H45lK++SaMHQtXX20HapJV/fowdSqccQYMGAA//gi3316zniybU7WTlh9/DFOmwM47V/TsLGwP9+XAZUDgG8RTlt/EdK7aCoGbgP2wm2blJ+/16+Hii6FtWxu0kOzq1bMDNf37w5132s3NIDsZjhgBTz9tPU9OOqmsZwjWd3t34GGs2elIPHlvylfgzlVLLnAG1vSo8sx2663w7bd2o7Bhw7BjC0bt2tbStW1bOxn544+25XHHHav/mqqWtEeOhPPPt5a3myoZOX8sViY5qPoXywC+AneuSvKBAUAnYD4l+7or8tVXlsDPPBOOOSbk8AImYnX7KVPg66/thuOkSdV7rcJCK8nceKPt9c7Jsdc3WdgcySuB74GpePKunCdw5+I2E9gFeIx4Vt1gK85LL4WsLNs6mKpOPBE++cRq1aeeaod+fvgh/q+fN896kY8ebf8gjB0LtWuXlEl2w24ALwduASLeGJ9CPIE7V6lV2FSW47GTffEXgydNspuXN99sR9dTWbt2Nhzilltg2jTYfXfo2xfmzLF/qMqyZImdsOzY0Z739NNw1131qFWrPrab5DXsJvA5/FE+cfHyfeDOVWgqcAFWKimo0lfm58Nf/mInHT/5xGrK6WLJEqtjjxtnN2jbtbOdNbvsAnXrwtKlkJsLH31kZZJevWDUqIa0bl0b6IftKNk+4u8idZS3D9wTuHNlWgacD7xNRbtLKnLTTVbvfest6NQpwNCSyIoV1j/l5Zdh9mzb4w6w5ZbWJKtbNzj77Aa0bdsa60lyBn/s53bx8gTuXFwUGwE7CFtxF1brVRYutBLDCSfAs88GGF6SKy62m5X16m2BVWg7Y7tJDqf8wV6uMn4S07lKfQ+cBcyluqvuEkOHWungjjuCiCt11KrViHr1BLgY60+yQ8QRpTdP4M6xEbgbuBFbdW+s0au9+abtl77ppprtmU4dgrVw3RprJdAbG6LgwuYJ3GW4OUAvYCHx7OmuTFERDBxo48qGDq3xyyW5kjJJJ6ypVCe8TJJYnsBdhioAhgMPYC1fg7kXlJNj2+UmTYIGabsIzcJ+vy7E7hXsFG04GcwTuMtA72Kr7pVUZU93ZX75BW64AY46yrr5pZ8sbJJ7SZkkCdspZhhP4C6DrMaOao8nyMRdYvhwWLUK7ruv9BHxVFcX6wR4GJa4O+NlkuRR6UlMERkrIstF5PNSj90oIktEZHbsrXu4YTpXUyVzKZ8hjOQ9Z46NA7v0Uthrr8BfPgKNYm8XA18CbwBd8OSdXOJZgT8JjAae2uzxe1T1zsAjci5QK7AkNI0gblKWRdVuXDZrZjtPUlsW0Azbu31O7GOXrCpN4Kr6toi0SUAszgVIgYnYse0/z6UM0uTJtnXwwQehefPQLhOikjLJwdhukq74Sjs11KSZVX8RmRMrsTQr70ki0ldEckUkNy8vrwaXcy5ei7BabV/gd8JM3mvXWne9vfe2CTOppRG2f/tC7PDSLOBoPHmnjuom8Iewvpr7YB3t7yrviaqao6rZqprdsmXLal7OuXgUY9W+vwDvUNPTlPG47TZYtMjapMY3kDcZZAHbAbdiPV8eBNpFGpGrnmr9yKnqzyXvi8ijwMuBReRctcQ3lzJI8+fDqFFw1llw+OEJuWQN1Im9ZQPXAcfg3aRTX7X+BEWkVakPTwI+L++5zoUr/rmUQRs0CLbYwpJ48mqIHWs/H/v9+Q/QDU/e6aHSFbiITASOBLYSkcXACOBIEdkHu1O0ALvN71yCVW0uZZBeeQVeesmmtbdOygEyWUBj4GrgPGxcmUs33k7WpaB8bJtb/KPNglRQAB06QK1aMHeurcKTQ0mZZD9sN8mx+Eo7PXg7WZcmZmItX38jiuQNNtvyu+9srFhyJO+G2H+GewFDgd2jDccljCdwlyJWAZcBzxPWgZx4LFhgo8R69ID/+7/IwohpjCXvodhWwC2jDcclnCdwlwKmYHMp11HVuZRBUoV+/azPyf33RxVFbayN617YiLLuscdcJvIE7pLYUv6YSxndqrvEs89a2eTee6MY1NAQ2+d+Orbi3jPRAbgk5AncJSEFxgJXUJO5lEH65Rfrd5KdDf37J/LKjbEhwEOAi7A+Jc4ZT+AuyQQ3lzJIV10FK1fC9OlQO/SKRUmZZE/s0M3xeJnElcUTuEsSG7GODDdivUtqNpcySK++Co8/bkl8n33CvFID7H8fPbH922nRl9aFyBO4SwKl51JGszWwPCtXwvnn277v8FrFZmFlkkHYmbgWYV3IpRlP4C5C4cylDIoqXHKJJfFXX4X69YN89dpAPaA9tpvkBPyvo6sq/4lxEQlnLmWQxo+34cS33BJk6aSkTHISVibZO6gXdhnIE7hLsHDnUgZl/nzbbXLooVb7rrks7MbkFdiQia2CeFGX4TyBuwR6FRvTtQYrmSSn/HybKl+rFjzzTE12ndTCatvtsN0kJ2HTb5wLhidwlwB52M256STDgZyKqELfvtak6pVXoG3b6rxKSbH8BKxMsl9g8TlXmidwFyIFJgCXEvZcyqCMGWO175EjoVu3qn51FvZXaiD2PW8ddHjObcITuAvJIqxc8jHJdCCnItOm2ZCG44+HYcPi/aqSMsnOWAvXU/AyiUsUT+AuYMXAGOBabJtgUbThxOm996zuvdde8PTTVv+uWEmZpDvWm/yAUONzriyewF2AEj+XMghz58Lf/gbbb2+r8C0r7Mqahe3hvhxrb7ttIkJ0rkyewF0ACrEJ57dhq+7iaMOpgq+/tr7ejRrBa6/B1mWWrQXrBrgDdujmVGxLoHPR8gTuasjmUm7Y8BOzZ69jwQL46SdYtsx2dDRoYCcYt9sOdtsN2reHpk0jDjkmNxeOPda2Cb7xBrRps/kz6sV+7YaVhA5KZHjOVcoTuKumfBYuvJTx48czc2YR770H60qdy6lb1+rIBWXMX2jTBv76V+jUCbp2LStxhu+55+Dcc2GbbeD116Fdu9KfzcJuTl6GlUpaJT5A5+LgCdxVSXFxMS+88A9ycm5m+nTbFrj33nDRRZaQ27eHVq2geXObXFNcbIl90SL49lv45hv48EOrNT/9NP/7+h494MQT7ci6SHjxr19vJysfeMBOWU6ZYkn8jzLJdtihm9P5YwXuXJJS1YS97b///upSU3FxsU6bNkn33ruZArr99ujw4eiCBdX7cSguRr/6Cr3rLvSvf0Vr1UIB3XFHdMAAdNYstLAw2B/BGTPQ3Xe36wwYgK5fj6rWU9X6qnqcqr6jqsWh/j46Vx1ArpbxQ+0J3FXqm2++0a5dOyqgbdqgzzwTfHJdvhwdOxY94QS0fn1LsltthZ5/PvrSS+i6ddX/h+L999Hu3e01d94ZnTYNVc1S1caqepWqLg73N9C5GiovgYt9LjGys7M1Nzc3YddzNVNcXMyYMbdw9dUjqFevmBtvtPaq9UKuLKxZYyWWqVPh5Zfh998hKwsOP9xq54cfbv25mzcv++sLC21r4PTpNsfys8/suUOGwBVXNKRBg1bYbpIz+GM/t3PJS0Q+UdXsPz1eWQIXkbHAccByVe0Qe6w58CzQBlgAnKaqv1YWhCfw1LFkyWLOPrsrs2Z9Q/fuwqOPKq1bJz6ODRtg5kx48UV46y348ss/Pte0KeyyC7RoYTdN8/Nh6VL44Yc/bp4ecACcf35tzjqrDo0bd8Z2kxyO1bydSw01SeCdsPZxT5VK4KOAX1T1NhG5BmimqldXFoQn8NTw3nv/omfPs1i9upD77rOJNGHeWKyKlSvh/fftZuj8+fD997Bqla26GzSwG5Jt29rw4U6dGtK6dS2skdZAbB+3c6mnvARe6S4UVX1bRNps9nAP4MjY++OAN7G2ay6lbSQn5zT695/CTjvZ3ug994w6pk21aAHHHWdvZSvZTbINtto+Cxui4Fz6qbTjQzm2UdWlsfeXYX9byiQifUUkV0Ry8/Lyqnk5F7bi4tkMGbI1F188hS5d4KOPki95V2wLrJ7dFfg38B1wIZ68XTqrbgL/n9gd0nLrMKqao6rZqprdsmXLml7OBa6AwsIh9OmTzV13/UL//nbjsFmzqOOKVyPs4E0/rBfLa8AReI3bZYLqHuT5WURaqepSEWkFLA8yKJco77J27emccspSpk0r5uab4dprk6feXbEsbHr7tcDZWNnEucxS3RX4i0Cf2Pt9gBeCCcclxmrgQtas6Ur37kt47bViHn3UemAnd/Kui5VJumA/cj9gNyg9ebvMVOkKXEQmYjcstxKRxcAIrO3ccyJyAbAQOC3MIF2QbC7l6tWr6d69gPffhwkT4PTTo46rIo2wKt35wCBseIJzLp5dKL3K+VSXgGNxoVqBrVan8fvv+Rx7rPUkmTgRTj016tjKkwU0xQYm9Il97Jwr4c2s0t6mcynz8zdw3HG2y+TZZ6Fnz4jD+5O62MCEg7GmUl3wG5LOlc0TeFrbdC5lQYGNDXv3XSubJFfyLimT9AGuBNpV/HTnnCfw9FQyl/IabBJ8EUVFcOaZ1h/k8ceTqeadBTTBYj0XaBxpNM6lEk/gaaf0XMp8wHpyX3CB9b6+5x47Gh+tOrG3A7BJ7scQwJEE5zKOJ/C0UfZcSlUYMACeegr+/ne44oroIrTtfort2x4M7BZlMM6lPE/gacHmUsJSYN0mn7nhBhgzxlqpXn99FLGBlUkaA1dhWwGbRBWIc2nFE3hKy8dqx4+xeeIGuPtuuPlmuPBCGDUq0Yd06mA7SvbFdpN0w8skzgXLE3jKmol12vuNspL3E0/A4MG2x/vhhxOZvEvKJL2AocDuibqwcxnHE3jKWQX0B6ZScpNyc1On2qr7mGNscHDt2omIqzGWvIdiXQC3TMRFnctonsBTyhTgAmzFXVDmM2bMgDPOgIMOsl0n4Y4/q421ce2I7Sb5W+wx51wieAJPCUuxm3//AdaW+6wPP4QePaB9e/j3v6FRo7DiaYjtcjkDW3HvEdaFnHMV8ASe1BR4HGvgVIBtFSzbF19A9+42Umz69LD6eWdhAxJKyiQp0zTcubTkCTxpfY/dpJxLRatusCG+xxxj5ZLXX4dWrYKMo6RMsie2m+R4vEziXHLwBJ50ioC7gZuwVffGCp+9aBF06QLr1sHbb8POgXVabYD9D6AnNu50r6Be2DkXEE/gSWUOtv1uIeXtMClt8WI48kj45RdbeXfoEEQMjYF6WNnmYmzqjXMuGXkCTwoFwHDgAWA9FYwY/Z8lSyx5r1hhyfuAA2py/dpY0m6PlUl64D8aziU//1sauXexVfdKyjqQU5YlS+Coo2D5ckveBx5Y3WuXlElOwo6571PdF3LORcATeGRWYw2dniHexA2WvDt3hmXLbLfJQQdV59pZ2I3JK7Bp7ltV50WccxHzBB4Jm0sJa7CSSXzmzYOjj7aa97RpcMghVblmLWwg8K5YmeRErFeJcy5VeQJPqDzgEmAa8dykLO3TT6FbN2sP++absN9+8X5l/divJ2C7SeL+QudckvMEnhCbzqW0KTnxmzkTTjoJttzSat7t28fzVVnYH+/A2HW3rtI1nXPJzxN46BZhAwxyqexATlkeewz69YPddrOyyQ47VPTskjLJzliZpCdeJnEufXmD5tAUY9sC/4LtNKla8t64EYYOhYsusoM6771XUfKuH3s7CXgTO715Bp68nUtvvgIPxdfY1sB5VGfVvXw59O5t5ZLLLoN774U6Zf5JZWF7uC8HLgO2rXbEzrnUU6MELiILsP1wG4EiVc0OIqjUVQjcAtxO6bmUVfGf/1g72JUrISfHVuCbEqwb4A5YmeQ0bEugcy7TBLECP0pVVwTwOimu/LmU8diwAW69FUaOhLZtrR3sPvuUfkZJY+9uwLVAtTaAO+fSiJdQaqziuZTxmD0bzj0XPvsMzjoLHnwQmvxv7m8WdqviMmwST+uaBuycSxM1vYmpwGsi8omI9C3rCSLSV0RyRSQ3Ly+vhpdLNjOBXahu8l69Gq65xvqYLFtmo9CeeQaaNBGgEbAbMAZYjpVmPHk75/5Q0xX44aq6RES2Bl4Xka9V9e3ST1DVHCAHIDs7u/IuTSlhFbYifp6qHsgBKC6Gp56Ca6+1xN2nj02Qb968Hlbj7oqVSQ6Jfeycc39WoxW4qi6J/bocm7Jb7bZKqWMKts96MlVN3sXFMGkS7LsvnHce7LQTfPABPPlkFs2bN8YO3XwHvAQciidv51xFqp3ARaSRiDQueR84Bvg8qMCSzzKgO3Yo51fKGypcloICmw7fsSOceqp9PH48vPdeQw46qB1wP1YmuR3YLoTYnXPpqCYllG2AqSJS8joTVHVaIFElFQXGYp37Kp5LubmFC20r4KOPQl4e7LEHTJxYm1NPrU3t2p2xSe6H4ytt51x1VDuBq+r3wN4BxpKE4p9LWWLVKpg82Vbcb70FtWrB8cdD//716dKlNiKXAAOAHUOL2jmXGXwbYZnin0upCt9+Cy+/bG/vvANFRda7ZORI6N27IW3abIttNeyNDVFwzrma8wT+JyV9RMqfS1lQYAOE//1vS9rz59vjHTta/5ITT6zDAQfURqQTViY5Ai+TOOeC5gn8fyqeS7lsGbzyiiXt116DNWugfn1rNDV4MPztb7Djjo2wRH0BNhR4pwR/D865TOIJHChrLqUqzJ0Lzz9vq+yPP7ZnbrednZY87jgbbdawIdhpyRbY3u2zsV4lzjkXrgxP4KuxlfIEYB3FxfD++3YicupU+P57ELG5k//4hyXtjh3tMWvVWhs4DEvcnfEyiXMukTI4gf8xl3LevPWMG2c7R378EerWtdLI1VfDCSfAtpt0aW0U+/U84EqgbYLjds45k4EJfAVwMWvXvsr48et48klbddeqBcccA7fcYivtLbfc/OuygGbYbpJzYh8751x0MiiB21zKxYsvYfTofHJyivn1Vztcc/vtNkCh9Z96RZWUSQ7GyiRH42US51yyyJAEvohPPz2RO+/8jOee20hxsQ0JHjQIDj20pKZdWiMs4fcBBmMdB51zLrmkeQIv5osvrmfEiFFMnryRxo2hf38YMMCGJvxZFtAEW233ARonMljnnKuStE3g8+ZN46abzmTChF/JyoIRI+CKK6Bp082fWSf2dgB26OYYfNazcy4VpF0C/+WXnxkx4gQeeugjttgCrrrKTke2aLH5MxtiZZKzgSHArokO1TnnaiRtEnhRURGPPDKM4cPvYtWqYi6+GIYP33wLIFiZpDFwFXA+VjJxzrnUkxYJfNasVxkw4Gw+/3wlRx0F990He+1V+hl1sB0l+2KT3LvhZRLnXKpL6Sy2YsUK+vQ5hs6du7N27S9MmQIzZpRO3g2B+ti+7f9iR+a7k+LftnPOASm6AldVnn76Ya68chC//VbA9dfDddcp9euXPKMxlryHABcCTSOK1DnnwpNyCfy7777jkkt6MmPGHA45RMjJgQ4dwA7cbAF0xMok3WOPOedcekqZWkJhYSG33jqMvfZqz8cfz+HBB+Gdd5QOHUrKJL2Bj4EPgOPx5O2cS3cpsQL/4IMP6Nv3NObOXUTPnsL990Pr1o2xxD0Y6Iv1KXHOucyREgl8woQJ/PLLTzz/PPToUR/YE7geOA5faTvnMpWoauXPCkh2drbm5uZW+evWrFlDcfEpNGnSEtu/vVdlX+Kcc2lDRD5R1ezNH0+JFXhWVhYwLeownHMuqaTMTUznnHObqlECF5FuIvKNiHwnItcEFZRzzrnKVTuBi0htYAxwLLAH0EtE9ggqMOeccxWryQr8QOA7Vf1eVTcA/wR6BBOWc865ytQkgW8HLCr18eLYY5sQkb4ikisiuXl5eTW4nHPOudJCv4mpqjmqmq2q2S1btgz7cs45lzFqksCXADuU+nj72GPOOecSoCYJ/GNgVxFpKyJbAGcALwYTlnPOucrU6CSmiHQH7sXOs49V1ZsreX4esLCal9sKWFHNr01V/j1nBv+eM0NNvuedVPVPNeiEHqWvCRHJLesoaTrz7zkz+PecGcL4nv0kpnPOpShP4M45l6JSKYHnRB1ABPx7zgz+PWeGwL/nlKmBO+ec21QqrcCdc86V4gncOedSVEok8ExrWysiO4jILBH5UkS+EJGBUceUCCJSW0Q+FZGXo44lEUSkqYhMEpGvReQrETkk6pjCJiKDYj/Tn4vIRBGpH3VMQRORsSKyXEQ+L/VYcxF5XUTmxX4NZIhv0ifwDG1bWwQMVtU9gIOByzLgewYYCHwVdRAJdB8wTVV3B/Ymzb93EdkOGABkq2oH7ADgGdFGFYongW6bPXYNMENVdwVmxD6usaRP4GRg21pVXaqq/429vxr7i/2nTo/pRES2B/4GPBZ1LIkgIlsCnYDHAVR1g6quijSoxKgDNBCROkBD4KeI4wmcqr4N/LLZwz2AcbH3xwEnBnGtVEjgcbWtTVci0gbYF/gw4lDCdi82sbo44jgSpS2QBzwRKxs9JiKNog4qTKq6BLgT+BFYCvymqq9FG1XCbKOqS2PvLwO2CeJFUyGBZywRyQImA1eo6u9RxxMWETkOWK6qn0QdSwLVAfYDHlLVfYG1BPTf6mQVq/v2wP7xag00EpHe0UaVeGp7twPZv50KCTwj29aKSF0seY9X1SlRxxOyw4ATRGQBViLrLCLPRBtS6BYDi1W15H9Wk7CEns66Aj+oap6qFgJTgEMjjilRfhaRVgCxX5cH8aKpkMAzrm2tiAhWG/1KVe+OOp6wqeq1qrq9qrbB/nxnqmpar8xUdRmwSETaxx7qAnwZYUiJ8CNwsIg0jP2MdyHNb9yW8iLQJ/Z+H+CFIF60ThAvEiZVLRKR/sB0/mhb+0XEYYXtMOBsYK6IzI49NkxVX4kuJBeCy4HxsYXJ98B5EccTKlX9UEQmAf/Fdlp9ShoeqReRicCRwFYishgYAdwGPCciF2AttU8L5Fp+lN4551JTKpRQnHPOlcETuHPOpShP4M45l6I8gTvnXIryBO6ccynKE7hzzqUoT+DOOZei/h8KdEhAUEeXQAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### 利用字典关键字作为参数绘图\n",
    "x = np.linspace(0,10,200)\n",
    "data_obj = {'x':x,\n",
    "            'y1':2 * x + 1,\n",
    "            'y2':3 * x + 1.2,\n",
    "            'mean':0.5 * x * np.cos(2*x) + 2.5 * x + 1.1\n",
    "           }\n",
    "fig,ax1 = plt.subplots()\n",
    "\n",
    "# 填充两条线之间的颜色\n",
    "ax1.fill_between('x','y1','y2','mean',color='yellow',data=data_obj)\n",
    "\n",
    "# 开始画折线\n",
    "ax1.plot('x','mean',color='black',data=data_obj)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a434e2b5",
   "metadata": {},
   "source": [
    "## 绘制散点图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "749b0632",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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BS4BzgMuTnNNvVb06ALy1qs4Bzgfe1Pj+ALgS2N13EcvEe4BPVdUvAC+g4f2SZDXwZmBQVb8EnARc1m9V3VtRgQ+cB+ypqgeq6kfALcD6nmvqTVXtr6rto+ePM/uGXt1vVf1Jsgb4PeD6vmvpW5JnAb8F3ABQVT+qqv/staj+nQz8ZJKTgacB3+q5ns6ttMBfDTw4Z3kvDQfcXEnWAecCd/dcSp/+BvhT4Mc917EcnAXMAB8YHeK6PsnT+y6qL1W1D/gr4JvAfuDRqvp0v1V1b6UFvhaQ5BnAR4C3VNVjfdfThyQvBR6qqm1917JMnAy8EHh/VZ0L/BfQ7GdeSZ7D7NGAs4DnAU9P8of9VtW9lRb4+4C1c5bXjNY1K8kpzIb9zVV1W9/19OhC4NIkX2f2UN/vJPn7fkvq1V5gb1Ud/IvvVmZ/AbTqIuDfq2qmqv4HuA34jZ5r6txKC/x7gLOTnJXkVGY/dNnUc029SRJmj9Hurqp3911Pn6rqz6pqTVWtY/b/xeeqasV1cEerqr4NPJjk50erXgTs6rGkvn0TOD/J00bvmxexAj/EPrnvArpUVQeSXAHczuyn7DdW1c6ey+rThcCrgfuS7Bite1tVbe6vJC0jfwzcPGqOHgBe33M9vamqu5PcCmxn9uy2L7ECv2bBr1aQpEastEM6kqRFGPiS1AgDX5IaYeBLUiMMfElqhIEvSY0w8CWpEf8HWf5vKkIfCnEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 创建数据\n",
    "x = np.arange(10)\n",
    "y = np.random.randn(10)\n",
    "\n",
    "# 绘制散点图\n",
    "plt.scatter(x, y, color='red', marker='+')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb1a8f7e",
   "metadata": {},
   "source": [
    "## 绘制条形图（横着的，竖着的条形图）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "890dbccf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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9Se5N8s6hMz0pyXFJvpzkzi7bZUNnWi7JhiRfSfL5obO0IMlbuv/HHydZ9SMya73+JnlekuuSfK3797mrzPejJHd0t109jn/Yny/JM5J8unv+liRb+xp7xBwXJllc9hq8fY1yHPa9MUs+1OW8K8nLBspxRpJHl70el/QaoKpm7gZsAL4OvBA4FrgTOG0Kcv068DLgnqGzHJJrM/CybvrZwFen4fXq8gR4Vje9EbgFeMXQuZbl+2Pg74HPD52lhRvwS8A24EZgfpV51nz9Bf4MuLibvhj44CrzPbYGr8ERfz7gD4CPdtPnAZ8eKMeFwIcn8Htx2PdG4GzgC937wSuAWwbKccZaruuzuoV9OrC3qh6oqh8CVwPbB85EVd0EPDJ0jkNV1YGqur2b/j5wP3DSsKmW1JLHursbu9tUnEmZZAvwBuDyobO0oqrur6o9R5htEuvvduDKbvpK4E09L/9wjubnW57vM8BrkmSAHBNxFO+N24FPdO8HNwPPSbJ5gBxralYL+yTgwWX39zElBTTtul1vL2VpS3YqdLud7wAOAtdV1bRk+0vg3cCPB86x3kxi/T2+qg50098Cjl9lvuOSLCS5Ocmbehr7aH6+n8xTVU8AjwI/39P4o+QA+M1uN/Rnkpzcc4ajNU3v6a/sDtF9IcmL+lzwMX0uTOtbkmcB/wS8q6q+N3SeJ1XVj4CXJHkO8NkkL66qQc8DSPJG4GBV3ZbkjCGzTJskXwROWOGp91bV56Yhx/I7VVVJVttr8/yq2p/khcD1Se6uqq/3nXWK/QtwVVU9nuQdLG31nzlwpiHdztLvxGNJzgb+GTi1r4XPamHvB5b/Jbile0yrSLKRpbL+VFVdM3SelVTVd5PcAJwFDH3i3quBc7qV9jjgZ5N8sqp+e+Bcg6uq1465iF7W38PlSPLtJJur6kC3a/XgKsvY3/37QJIbWdr7NG5hH83P9+Q8+5IcA/wc8PCY446co6qWj3k5S8f+hzAV7+nLN2SqaneSv0myqap6+XKSWd0lfitwapIXJDmWpZM2ejvDc73pjo19DLi/qv586DzLJZnrtqxJ8kzgdcB/DRoKqKr3VNWWqtrK0u/X9ZZ1byax/u4CLuimLwB+ass/yXOTPKOb3sTSH2n39TD20fx8y/O9maXfr77P3ThijkOOE5/D0vktQ9gFvLU7W/wVwKPLDmlMTJITnjyXIMnpLHVsf39IrdXZbNN+Y+mswq+y9Nfwe4fO02W6CjgA/B9Lx2DeNnSmLtevsXQi113AHd3t7KFzddl+BfhKl+0e4JKhM62Q8Qw8S/xoX6vf6H73Hwe+DVzbPX4isHvZfGu6/rJ0PPhLwNeALwLP6x6fBy7vpl8F3M3S2dN397m+rvTzAe8HzummjwP+EdgLfBl44Rr9fxwpx58C93avwQ3AL65Rjp96bwR+D/i97vkAH+ly3s0qnzCYQI6Llr0eNwOv6nN8L00qSVIDZnWXuCRJTbGwJUlqgIUtSVIDLGxJkhpgYUuS1AALW5KkBljYkiQ14P8B0BnV1rXxUCMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "np.random.seed(1)\n",
    "x = np.arange(5)\n",
    "y = np.random.randn(5)\n",
    "\n",
    "fig, axes = plt.subplots(ncols=2, figsize=plt.figaspect(1./2))\n",
    "\n",
    "vert_bars = axes[0].bar(x, y, color='lightblue', align='center')\n",
    "horiz_bars = axes[1].barh(x, y, color='lightblue', align='center')\n",
    "\n",
    "#在水平或者垂直方向上画线\n",
    "\n",
    "# 竖着的条形图\n",
    "axes[0].axhline(0, color='gray', linewidth=2)\n",
    "\n",
    "# 横着的条形图\n",
    "axes[1].axvline(0, color='gray', linewidth=2)\n",
    "\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07b62b24",
   "metadata": {},
   "source": [
    "## 让不同值的条形图变色"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "d26670eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "vert_bars = ax.bar(x, y, color='lightblue', align='center')\n",
    "\n",
    "# bar绘制条形图后，我们会接收到一个数组，我们对该数组进行条件修改，能够做出筛选的效果。\n",
    "for bar, height in zip(vert_bars, y):\n",
    "\n",
    "    if height < 0:\n",
    "        bar.set(edgecolor='darkred', color='salmon', linewidth=3)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "436a7dbd",
   "metadata": {},
   "source": [
    "## 绘制条形图（一般用于统计出现次数，或频率）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "ab62ec67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "array([[-0.8449119 , -0.68290829,  0.67089054],\n",
       "       [ 0.5598026 , -1.17729268, -0.34414663],\n",
       "       [-1.06707852,  0.59057717, -0.77453236],\n",
       "       ...,\n",
       "       [-1.23998718,  0.86305228, -0.20717298],\n",
       "       [ 1.4717324 ,  0.05610443,  0.84984671],\n",
       "       [ 1.00714829, -0.52155958,  0.18082803]])"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 创建数据\n",
    "n_bins = 10\n",
    "x = np.random.randn(1000, 3)\n",
    "\n",
    "# 创建画板，和绘画区域\n",
    "fig, axes = plt.subplots(nrows=2, ncols=2)\n",
    "ax0, ax1, ax2, ax3 = axes.flatten()\n",
    "\n",
    "# 创建颜色列表\n",
    "colors = ['red', 'tan', 'lime']\n",
    "\n",
    "# 绘制条形图，\n",
    "# x 数据列表\n",
    "# bins 指定有几条条形图\n",
    "# normed 默认\n",
    "# color 条形图颜色，不设置就默认\n",
    "# histtype：{‘bar’, ‘barstacked’, ‘step’, ‘stepfilled’}；'bar’是传统的条形直方图；'barstacked’是堆叠的条形直方图；'step’是未填充的条形直方图，只有外边框；‘stepfilled’是有填充的直方图；当histtype取值为’step’或’stepfilled’，rwidth设置失效，即不能指定柱子之间的间隔，默认连接在一起；\n",
    "\n",
    "ax0.hist(x, n_bins, density=True, histtype='bar', color=colors, label=colors)\n",
    "\n",
    "# 增加图例，并设置图例的大小\n",
    "ax0.legend(prop={'size': 10})\n",
    "\n",
    "# 设置绘图区域的title\n",
    "ax0.set_title('bars with legend')\n",
    "\n",
    "ax1.hist(x, n_bins, density=True, histtype='barstacked')\n",
    "ax1.set_title('stacked bar')\n",
    "\n",
    "ax2.hist(x,  histtype='barstacked', rwidth=0.9)\n",
    "\n",
    "ax3.hist(x[:, 0], rwidth=0.9)\n",
    "ax3.set_title('different sample sizes')\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "x"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51b181a9",
   "metadata": {},
   "source": [
    "## 绘制饼图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "8820382f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 设置图例名称列表\n",
    "labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'\n",
    "# 数据列表\n",
    "sizes = [15, 30, 45, 10]\n",
    "# 突出指定序号的模块\n",
    "explode = (0, 0.1, 0, 0)  # only \"explode\" the 2nd slice (i.e. 'Hogs')\n",
    "\n",
    "fig1, (ax1, ax2) = plt.subplots(2)\n",
    "ax1.pie(sizes, labels=labels, autopct='%1.1f%%', shadow=True)\n",
    "ax1.axis('equal')\n",
    "ax2.pie(sizes, autopct='%1.2f%%', shadow=True, startangle=90, explode=explode,\n",
    "    pctdistance=1.12)\n",
    "ax2.axis('equal')\n",
    "ax2.legend(labels=labels, loc='upper right')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9221bd9",
   "metadata": {},
   "source": [
    "## 绘制箱线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "8e1f5608",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'whiskers': [<matplotlib.lines.Line2D at 0x7f045e813208>,\n",
       "  <matplotlib.lines.Line2D at 0x7f045e813518>],\n",
       " 'caps': [<matplotlib.lines.Line2D at 0x7f045e8137f0>,\n",
       "  <matplotlib.lines.Line2D at 0x7f045e813ac8>],\n",
       " 'boxes': [<matplotlib.lines.Line2D at 0x7f045e500ba8>],\n",
       " 'medians': [<matplotlib.lines.Line2D at 0x7f045e813da0>],\n",
       " 'fliers': [<matplotlib.lines.Line2D at 0x7f045e619860>],\n",
       " 'means': []}"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 有shape(50,n) n 类别\n",
    "data =  np.linspace(0,np.pi)\n",
    "data2 =  np.linspace(0,np.pi)\n",
    "\n",
    "fig, (ax1, ax2) = plt.subplots(2)\n",
    "ax1.boxplot(data)\n",
    "ax2.boxplot(data2, vert=False) #控制方向"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1fc3cef6",
   "metadata": {},
   "source": [
    "## 泡泡图（每个点都有自己大小的散点图）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "8b81d9bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "np.random.seed(19680801)\n",
    "\n",
    "\n",
    "N = 50\n",
    "x = np.random.rand(N)\n",
    "y = np.random.rand(N)\n",
    "colors = np.random.rand(N)\n",
    "area = (30 * np.random.rand(N))**2  # 0 to 15 point radii\n",
    "\n",
    "plt.scatter(x, y, s=area, c=colors, alpha=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59c21b42",
   "metadata": {},
   "source": [
    "## 等高线（轮廓图）#机器学习用的决策边界也常用轮廓图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "068d54d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.contour.QuadContourSet at 0x7f045e7282e8>"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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TfyylDcD2LNjJuFdTdZ8mCnt4T6bLKRzPvOVVSfhwdZL+eNqdij6MhvH2cTJIBcZ+nrOtvvtYyhtM1r0A+yV5mHjy42zy6m1ty9Lxr1rCh6kn/bG0MdF2xtvmVPbDFsw04QzERM97Kg3DRGvUTPSZmMzrPRueLxNm6p2cakfT2vGvasI3YSolm7Yef7Lamki7U9UPWzGR/lor2zCZNX3sLdlnKCazhMdkG9TZ9CzB5PbXnkI4o7UxEuFfNZm2tmSxTiRbdSxZqRNtayLtWurH0GNNJYa2MZZ+WyOjySSuq7Em0lQaypkwkLOV6Cfa9nREK64awgfbSd+07VS1MVltDW134DHHg8nsj62YiAEwYSyGYKTtZzNGKlp3NYyAJsMQzxH96LBrwleqxx5uspUYp9vbH7jfRDDwGLPF6x+IyTAAJoxEdLZU9bQHw2BrP6eirzMd3rI3kgf7LbMyWedp1zF8T+8IsWjFl4Gpz06bCGYqvj/e9q1hpglgIGYq9DLVKzbNhJGxp/sKc0Q/lvbG086UxfAlSfotsB3QAKXAp4UQHRa2qwC6AT2gs9aZkTAej3ws3v7A7ceKmfT4hx5nMkI+Q485E7DW/lQbAnvw+seLmb5n1mDPDom95ttMlcJnQh6+JEmbkden1UmS9GsAIcR3LGxXASwWQrSM5fgDPfyBmCm502S3M5ltTlY/rMFeycQSrsaJ2dl0/cG+SR7sl+gn0pbp+FNWD18IsXvAf08iL1A+5Rhv/N1ePf7JaHOkfoy1L5YwdH97JqCpDP9NBuz52o0Xs8G5mClHzJ4SRCdz0vZh4HUr3wlgtyRJAviHEOKf1g4iSdKjwKMAjp6+VhubCEFON/Hb0pal7aaK/MfSH2uYTQbAFsz2/k8npsI4TuX1t/ccmumqBAA2hHQkSdoLhFj46nEhxHvGbR4HFgO3CwsHlCQpXAhRK0lSELAH+LIQ4vBonZuOJQ5hemfK7SXcMxBT5d3Okejsx2x9NmbyPZtpop9QSEcIcf1I30uS9BCwDdhoieyNx6g1/m6SJOkdYCkwKuGbYItHPhs8/qH7zrTXb+2Yk/WSWzvOnCGwT0xlWMtei6rNFpK3tY32ZCfYZf37iap0bgS+DawTQvRZ2cYdUAghuo1/bwaeGE979kb8423H0r7jIf+Jtm8Nlo45mWQwZwhmDtMxV2HvdXZmIkFrWojeBkw0hv8XwBnYI0kSwEkhxOclSQoDnhVCbAWCgXeM3zsArwohPp5Io9NF/KO1MdF2xtumpfYnow8jYaqNgC3HmzMIo2O6FUqzpb7O1VpXZ6zHt+vEq8ksnjadUsuZTPGeqn7YCnuRRF5NxuFavqb29Pzbk6x7pDaumeJpYP1iTdQTHo/XP962rLVrS9sjbTsdL+xIbUwncdkLSc5GzKSxtCeCB/sSdMzV0rGAqQ73DN1vOsnf0jHs3QDY2t4cQU8f7Gn0M9H7PtMJizPtzY8Vdk34MH5ytoWUJ4OMZ5L8LR1nIgbA0vGmC7a0O2cURoc9kflQ2GMNHbDfrNupOFe7J3wTJkKW0+H1D913Jsjf0rHG+jDbkxEYiulMULEH2Mt1Hw/sldxNmIk5OXvIJ5o1hD8Q9u7129qWte+n0gDY0h9bt58thDRb+jkbMRtKKoB9Z9tOR9KoCXZN+HoXaUTvfDK8fmvHnujxrbU1UnvWvp/sF2GyJJYj7TNHslcXZguxm2DvSVjTqRocCLsm/IGwVYUzVQqcmVTezFSylaW2bcWcpn52YbaWUDBhNiRgTTXJm48/VZm2M4HRyHk65JeTTcD2aABGO/ZECWKmJq2uNVxtmbUmzDTB29qHaSN5GzHrCH8g7IH8J6OdkdodrW1r30/1SzgdEkt7eKntCTM5+TwbtflXa+LVRI4/qwl/IKaT/K21YenzmdLez6TaZiYllrNVkTPTsBdDaS/kDldf0hXYOeEr1QLfwvEvbQhTQ/6W9ptJAzBS+7ZsMxMvu61tzhH4+GEvJG4J9pZRC9Mv1ZyJeS67JnwTplKNM91KnKmKv08k1m5PhmAy+3A1GAt7uAcTgT1m0ppgj1r8qQ4H2TXh612kYZ9NFvkPPZal/8+EAZhou7Ycy9YHfbYrbey9f1cL7D3JygR7JPjJaGss52XXhA8je+hTPSk7EwZgstu1pS8jtT0SZrtBmINtmKyR0nQ+DzNB7ra2PVMafJgFhD8Q00X+lo5v6bPJNADW2rT2+VS9PJOpvpnOSa85jB1TEfKaDRLNq02eOezYV5MO3wRbyX/otuM5vqVjTlY7o+0/FiMwGX0YCaMde6qStMbTl2sN0zVfMdvkmTOl3pnqSd3xHn+iSxz+BPgs0Gz86PtCiI8sbHcj8DSgRF4J61cTaXcoxhKbn0pVjj0ocmZyAnY6lTdTTXDTnYU507AnA2ovxA5XnzRzMjz8PwghfmftS0mSlMBfgU1ADXBGkqQdQoi80Q48FbLMySLl8RiAibRnyzHGYwgmq09jwVjbmwnCnA0kPRLsicCtwZ409yZMZwb41SrLXAqUCCHKACRJ+i9wCzAq4ZswG5Q5tnriUxmPH680056MwXT0wV7J3B6u9WTCHrX2AzETc0xT+a7Zcj4TWtPWGNJ5COgCzgLfEEK0D9nmTuBGIcRnjP9/AFgmhHjMyjEfBR41/jcZKBx3BycHAUDLDPfBnjB3PQZj7npcwdy1GIyZuh7RQohAS1+M6uFLkrQXCLHw1ePA34GfAcL4+yng4fH3E4QQ/wT+OZFjTCYkSTprbUHgaxFz12Mw5q7HFcxdi8Gwx+sxKuELIa635UCSJP0L+MDCV7VA5ID/Rxg/m8Mc5jCHOUwjFBPZWZKk0AH/vQ3ItbDZGSBRkqRYSZKcgHuAHRNpdw5zmMMc5jB2THTS9jeSJC1ADulUAJ8DkCQpDFl+uVUIoZMk6THkdAAl8G8hxOUJtjudsJvwkp1g7noMxtz1uIK5azEYdnc9JjRpO4c5zGEOc5g9mFBIZw5zmMMc5jB7MEf4c5jDHOZwjWCO8McASZK+IUmSkCQpYKb7MpOQJOm3kiQVSJJ0SZKkdyRJ8pnpPk03JEm6UZKkQkmSSiRJ+u5M92cmIUlSpCRJByRJypMk6bIkSV+d6T7NNCRJUkqSdEGSJEvKxRnDHOHbCEmSIoHNQNVM98UOsAfIEELMA4qA781wf6YVA8qFbAHSgE9KkpQ2s72aUeiQky7TgOXAl67x6wHwVSB/pjsxFHOEbzv+AHwbWZF0TUMIsVsIoTP+9yRybsW1BHO5ECGEBjCVC7kmIYSoF0KcN/7djUx04TPbq5mDJEkRwE3AszPdl6GYI3wbIEnSLUCtECJ7pvtih3gY2DnTnZhmhAPVA/5fwzVMcAMhSVIMkAWcmuGuzCT+iOwcGma4H8Mwa+vhTzZGKSHxfeRwzjWDka6HEOI94zaPIw/nX5nOvs3BPiFJkgfwFvA1IUTXTPdnJiBJ0jagSQhxTpKk9TPcnWGYI3wjrJWQkCQpE4gFsiVJAjl8cV6SpKVCiIZp7OK0YrSSGpIkPQRsAzaKay+ZY65cyBBIkuSITPavCCHenun+zCBWATdLkrQVcAG8JEl6WQhx/wz3C5hLvBozJEmqABYLIa7ZqoDGBW1+D6wTQjSPtv3VBkmSHJAnqzciE/0Z4N5ZlkE+aZBkT+gFoE0I8bUZ7o7dwOjhf1MIsW2Gu2LGXAx/DuPBXwBPYI8kSRclSXpmpjs0nTBOWJvKheQDb1yrZG/EKuABYIPxebho9HDnYGeY8/DnMIc5zOEawZyHP4c5zGEO1wjmCH8Oc5jDHK4RzBH+HOYwhzlcI7BrWaafn7/w9g+ip7cfVb8WATgoFcSE+eHooBy0rVanp1eloaevn161BoNBIEng5+VOkJ/HsGP3a3T0qjT0qjX0GbcHcHZyIDbMH1mBOXyfPrWGPrWWPrUGnV7Oq1AoJPy93Qnwcbd4Hjq9AXW/FlW/Vv6t0aE37itJ4ObiRFSIr9XrIIRArdHRP+BHrb1yDIzXxdvTlSDf4edqqT8arQ6NVi//6OS/tVo9hiFzOg5KBa7OjkQE+4x63MF9ltvR6/Xo9IYhP3r0egM6nfz/oW0OhEIhoVQoUCoknBwdCA/yHlM/riW0d6no7FGhNxjQGwQGvcFqWrgkgVKhwEGpxMFBgYPyyo/S/Lf8ncLSyzBiP/po6+pDq9Mz8NZKgIODEidHJU6ODjiZ/1bi6OBg8Z0biF6VhobWLrRavfm8FJKEk6MSZydHXJwccDb+OCit+7JtnX20dPSgN77zkiTh4uSAi7Mjrs4OuDg54uxkmRpVai21zR1odQZz+64ujri5OOHm7IiriyOShRNpauumrUuFEAIJcHF2xM3VCXcXJ9ws7NOn0lDT1IHecGV7d1cnPNyccXV2HHb8msYOuvv65X3balrGvabtTKJfciNo+WdZGxvM6gWxrM6KJzk6CIVCQm8wkFNcz9ELpRy7WE5ZbSsuQGagNyvmxbAsM5pFaZF4uDoD8k0+nVvJyZwKTuVW0tbZhxuwMMSHJWlRLE6LYkFKOP7eMmkLISivbeVsXjXn8qu5UFBDZ48aNyDIz4MFyeEsSIogMzGM+Eh/lAr5AdMbDJRUtXCpuJac4nouFddR39KFM+CnkIgN9yctLoTUuBBSY4OJj/DHyfHKbehTayiqbKawopGCiiYKyhupqGvDQQg8ADcXR+IiAoiPCCAhMoD4SPlvH0/XQddOpzdQ3dBORV0blfXtVNa3UVHXSkVdO31qDc7G7RwdlIQHeRMZ4ktksA+RwT6EB/kQGuhFsJ+nxQdfCEFbVx/1zV00tXfT1NZDY2s3TW3dNLR209DSRWtnLw4W2MbL3Rk/o3EM8HHHz9sdXy9XfDzd8PF0xcfDFS8PF7zcXfB0dx5m2EeDTm9ApdbQ169FpTYaWY2W/n6d/FurR6OVjaZWq0ejkw2dVq83GyCtTi+Tpt5InAbZKBkM8o8wXgMTJElCMv5WKCQUxt9KpcJIqgNJVIGjg4nkBpCf8beJeFycZOIxkYmrsyNOjkqLZGINBoOgR9VPd6+arh41nT1qOrpVtHer6OjuMxJfL60dvbR29tLe1WcmwYHwcHMmxN+TEH8vgv09CfLzJNjfgyA/T0L8PQn288TBwn0yGAStnb3UN3dR29xBTWMH1Q0dVDW0DyIoAKVSQWSwDzFhfkSH+hEd6kt0qB+x4f64uzoNOq5ao6Wyrp3SmhZKqpspqW6htLqFlo5e8zaBvu6kxASTEhNMckwQKbHBBPi4m6+fEIK65k4KypvIL2/gclkDBeWN9Km1ALi7OpGZEEpmQhiZiWFkJIQO6kdjaze5JfVcLKrlYmENxVXNCCG/T+nxISxMjWBRaiSZCWHmd0it0XK5tIFzedWcyavicmkDer0BZ0clC1IiWJYRzfLMGOIi/JEkmePyyxo5mVPByUsVXC5twCAEPp6urJgXw5qseJbNizZzXGNbN8cvlnP7xvmV1p4Ju1bpxCelieMnTxHs5wnI1vVUbgWHzpVy7GIZnT1qlEoFC1MiWDU/lpULYokK8R10sY5nl3M8u5z88kYAfDxdWZIexbLMaJamRxPs72lur7Gtm9O5lZzJreJMXhVtnX0AhAZ4sTA1kkWpEWSlRBAa4GV+cDRaHZfLGrhYIN/4S8X19Kk1gPzQZSaEMS8xjLT4EJKjg3AZYJ37NTqKKpvIL28kr6yB/PJGKuvbzF6Rv7c7KbFB8kMbHURCVAChAd4oFFdeeiEEja3dlNa0UFbbSllNK8VVzVTUtaHV6c3bBfp6EBPmR2yYH9HGlyoy2IdAPw+zsRoItUZLXVMn1Y0d1DV1UtfcSV1zF7XNndQ3d6LW6AZt7+SoJNj48ocEeBHi74m/jweBPu74G3/8vNxsInCdTk9Hj4qObhVdPWq6jITV1dtPT18/Xb1qevr66e6Tyay7T/68p69/WL9shVIhyYTsoBxEzqbRhWQkcsn0g+wlC3GluJIwGwWjoRBCHsmYfnRXRjvjgYNSgYebMx6uTni4u+Dl5oyHmzOe7i54DvhtMpheHi54u7vg6+WGq8twr3AoDAZBZ4+K1s5eWjv6aO3spaVDNuYNLd00tHbR1NZNV2//oP2UCokgP0/CAr0JC/QiPMjH/Dsy2AcvDxeLhqqzR2U2ALJD0kZ5bSs1TZ2DRq+hAV4kRAWSEBFAXIQ/cRH+RIcOH+V3dqsoqWmhqLKZgopGCoa8T37ebqTGBpMWG0JqXDBpcSH4ermZ99cbDFTWt5Nf1kBuieyslda0IITsySdGB7IgOZysZJkHBjpZPX39ZBfVcqGghnP51RSUN2EQAmdHJfOSwlmSHsXSjGizwwryiOViYQ2nc6s4mVNBRV0bIDuUK+bFsmp+LEsyonBzcTKf38ncSo5fLOPEpQo6e9Q4GPlv7aJ41i5KINjPE0mSzllbPN2uCX/x4sVi/6GjHL1QxoEzxZzKraRfo8PL3ZmVC+JYkxXH8swYPNxkC9er0nAyp4KjF8o4nl1OR7cKhSSRkRDKyvmxLM+MJjkm2HzB1f1azhfUcOJSBadzK80X3M/bTfb606NYnBpJ2IAwgkarM1vpcwXV5JbUo9HKxBof4c+C5AjmJ4czLzGMEH/PQQ96U1u32evPKamjsKLJ/PL7e7uTFhdMSuwVryRwSHhGbzBQWddGQUUTRZVNFFY2UVTZTM8ATynQ152EyEDiI2TvPzbcn6gQ32Fekul49c1dVNS3UV3fbnzx5N/N7T2DtnVzcSIs0IuwQG/Cg7wJC/QmNMCLYH8vgv08rL7UA9tq7+qjuV32KNs6e2nr6qO1U/Y027rkz9u7+oYRykAoFRLubs54GQnOw83ZSHbOuLs6424cJru6OOLq4oSLkwOuzo7mYbrpxxROcDR62paM3lRBCIFWd2V0odHpzaE6jVaHWqMzhwBVxpFKn1pLr6qfXpWG7j413UbjJxu9fnr61PRr9VbbdHZywM/LzWx4Tb/9vOUff293An088PdxtxrOMEGl1tLc3kNjWzf1LV2yMzDAKWjt7B20vYebM5HBPkSH+hIZ4ktUiC8xYX5EhfgOcoBM0On01DV3UV4nOzAl1bInX93Qbh6BKJUK4iP8SYoOIjk6iKToIJKiA83kaEKfWkNxVTMF5fKIOb+8kYq6VrMRiAj2MXvy85LCiIvwH/Qs9Kj6ZfIvquNCYQ2XS+rN1zk23J+FKREsSotkUWrkMANwsbCWM5erOJtXRUm1nKfp7eHCkvRols+LZsW8GAJ8rrzjja3dnMyp4Hh2Oadzq+hTa3B0UJKVEsGarDhWZ8URFihzkSnCceR8KUcvlpm5KzU2mBd+dv/sJPzgiASRcP1j6PQGgvw8WLcogfWLEliQEmGO0bV29nL4XCmHzpVwNq8arU6Pl7uzbCGz4lieGY23x5UbUdvUwbGL5Ry7WMaFghr6tXqcHeWLuiwzhqUZUcRHBJjJS28wUFjRxOlc+cZdKqqlX6tHkiApOohFqZFkpUQwPylsUDtCCCrr27lYWMOFwlqyC2upb5HLizg7KkmNC2FeYhjp8SGkxYUQ6OsxiDBN3kZBeSP55bK3UlTZZPZgnR2VJEQGkhwTRGJUIHFG78fL3WXYddTpDVQ1tFNe00p5bSvlda1U1LVR1dBuNlYgh1uiQuUXMSLYR/4J8iY8yAfvEQhdCEFHt4qGli4a27ppbO02/u6hqd0Y4unotRgucHd1MhOOiYh8PF3xNYZ4vD1kT9XTXfZaLcU7JwIhhDx/obvyo9MZ0JlDOgYMBjEotINgcGxaAiSQkFAqJBQKhTmk46BQoFRK5ni4o4PSaGwcBo3UJgP9Gh3dffJIyDQy6jCGb9q7VLR19dHWYTS0Hb109Kiw9Pp7e7gQ4u9FkL8nwX4echjH11MewRlDOiPFyNX9WuqaO6lt6pTDOI0dVDe0U93YQUNr16A2QwO85JFnuD+xYX7ERvgTFx5g0UHRaHVU1rdTVttKSVWz7PBUNNHerQLk+xAd6kdqrOw4pcYGkxQVNGx006vSUFjRyOXSBnJK6sgpqTeP5t1dnZiXGCaHbJMjSIsLHhRy1er05Jc1cqGwhvP51WQX1aHql8NACZEBLE6LYklGFFnJEYPOobWjlzOXq4xh5UqzUUyMCmTl/FhWLYglIyHUbGx0Oj3ZxXUcvVDGsYtlVNa3m9tYvziBdYsSSYy6wlOV9W0cPFvCobMl/OeJ+2Yn4fsEx4gn/vgCG5cmkRYXYj65prZuDpwpZt/pYi4V1yIEhAd5s3ZhPGsXxjMvKdz8QOoNBi6XNHD4fAlHLlyxhNGhvqyYF8uK+TEsSA7HxenKQ9HY1s2pSxWcuFTBmctV5lij6YYuSoskKzkczwHkajAIympbOJ9fw/mCGi4W1JgfRD9vN+YnhTM/KZx5iaEkRQcNG462d/WRU1LP5dJ6ckvqyStrMMcTXZwcSIoOIjUu2BiXDCIq1M/iS9fa0UtxdTOlxrhmcbUc3jERuyRBWKA3MWF+xh9/YowxU+8h8wADodXpzS+w7Ml1ml/quuZOc19NcHJUEuTrQZAx9hvk50Ggr4fZizR5lgOvuy0QQqDu19HVp6ant5+uPjW9fRqz99uj6qdPpTVPxquME+yqATF9Vb+Wfo1W9qpH8IqnGg5KBc7GWL2LszwScXWWRyZuLvLfbi5OuLs6mX+bfjxcnfFwd8bLzQUPd2c8XJ3HbEB0egOd3SrjKKuX5o4emtt6aG7vocE4J9PY2j0o1g7yKCskwIvwQG/CjKM908gvMthn0HsxFGqNlprGDirr2qkwzyu1UVnXNuhehAV6kxAZQEJUAAkRgcRHBhAZ4jNsJCaEoLm9h8KKJgqNHnx+eaOZUBWSRHxkABkJoWTEh5KZGGoO+w48Rm1TJ5eK67hUXEd2YS1lta2A/Bynx4WQlRrBopRIMhJDBz2zOp2e/PJGzuVXczavmuyiWjRaPUqlgsyEUJZnxrB8XsygUI4QguKqFk7mlHMiu4Ls4jr0egPeHi6smB/L2oXxLM+MGWQwqurbOXy+lCMXSskukjkvLNCb65YkcP2yZFJjg83nNKtDOmfPngXkSdd9p4vYfbKAS0V1gEzA1y1OZN3iBBIir1g7rU7PmctVHDxbzOHzZbR39aFUKliUEsGqrDhWLYglMviKKkanN5BbUs+xi7I1La2Rb3agr7vR649mcVqkeULXhNqmDk7nVpmHbZ09akD2WrJSIsgyegmRIT7DHrCapg4uGj3/S8V1ZguuVCpIiAwgIz6UjIRQUmKCiA7zsxhyaG7vuTICqGikoLxp0HDa39udhKgAEiMDzZO70WG+VklWCEFTew8VtbL3X93YTpUxxFPf3DVITePs5EBYoDcRQVdeejnEI3uDvl6uNnvi/RqdHDfu7KW9S0V7V5/5d0d3nzzJ2KWS4/pdfaOStEKScHOVSdPNTJ7yxKeL8xVydXY0hneMk6aODleUKY5KOZavVMoqIYU0MI4ve/NIyN6+MYpvMAiEYMCowDAohi+PIAxodTo0Gj39Wh39Wh3q/ishHLVGh8pooHpVGrMqbOB8jCUoFRJeHq7G0ZHxt5eb+beflxs+Xq5mNZm7q5PN96dXpZHJ32gA6pu7qGnqoLapg7rmLjqMjo0Jvl5uRIX4EhXiQ1SoHMKJMs4ZWZvD0RsMNLR0UVrTSqkxhFNc1Ux1Q4f5uTM5PinGSdjU2GCb3o2c4joulzXQq5Ln1nw8XclMDGN+kuzJp8YED5t07uxWGSdk5bh8YYUck3d0UJKZEMqSdNmTT40NGeR4qTVacorrOZ1byamcSgorm+Rr4unKivmxrF4Qx7LMaHMYGqC7V82p3EpzKLqzR42jg5LFaZFGbz5h0FxDW2cfRy6UcuBMMacvV6HXGwgN8OL6ZUlsXpFKckzQ7CT8RYsWiV/+5RV2Hs3jdG4leoMgLtyfTcuT2bgsiehQP/O2Gq2OkzmV7DtdxNELZfT09ePm4sTK+bGsXRTPynkxgzyPPrWGUzmVHDpXwrHscrqME8ALksJZMT+GlfNizbPlJvSqNJzLr+bkpQpO5lRQ29QJyJMsi9OiWJwmh3dMcTYThBBU1LUZJ3RquFhYY1YUeHm4MM8YP5yXFEZqTLDFuGZXr5r8skZZUVDaQH55A83tV7yYmDA/kmOCSI4JJjEqgITIwGHKnYH9aWztpryulfJaeaLMNOFrmnAGcHV2JDLEx/jC+hIZLCt5wgK98fN2s4kwelT9NLR00WT0HJvauo2/r/xtLWbv5uKIj6ebTGBmJY8L3h5yqMfTTVbyyBOZzmZP2MXZYVLDPvYArU5Pn0pjHsUMnKg2K3B6TEZSnvCW50PUFsM2zk4OBPq4E+TneWX05SsrbwJ9PQgN8LL5HveqNMbRnqzCqW5sp6JOdhhMoRK4osSJjwggNtwUxvEnKtTXqiFQa7RU1LVRUtVCYWUTBRWNFFc2m8Mors6OJMcEkRYXIodHY0MIDfQa1m+DQVBR30ZOcR3ZRXVcKq6luqHDfC0yE0JZmBrJwpQI0uNDBoVxQH6OswtrZU/+cjVFVU0IIYeAlqRHmT350ACvQfu1dvZyKqeSE5fKOXmpgq7efrPQxBSRCBmwj05vIKe4jkPnSjh0rpS65k4UkkRWSgQbliZy3ZLEQY5nV6+aw+dK2Xuq0MyRp1/+xuwkfM/AKJF249cI8fdk84oUbliZQkLkFXmpTqfnTF4Ve04UcvBcCb0qDV7uzqxZmMCGpYksTY8adOO6e9UcuVDG/tNFnMqtRKPV4+Xhwqr5sbLEaYjlBahqaB8U89fpDbg6O7I4LVJW+mREDxsiAtQ1dXImT/b+z+VXmx/8QF93o/cfwYLkcGLC/IcNxU3x/0vFdeQYh5mmUBRAZIgP6fGhpMUGkxobQmJUoFUVhlanp7y2jeIqeYK3qKqJ4srmQcN0Xy83YsP9iAuX46cx4XIcf6CMzRq0Oj31zV1UN7ZT19xFfYs8cVfX3El9SxddxlGPCZIkt2ciliBfD7NE098o0/QzeqajTR6OFQaDQK0xhnT65VyGgRJNrd7kgevR6fToDcL822AQGIRhgCxz8DkNkmUalT0mSaZpxGCK4Ts6KnE2jipMIR3T6GOk2Ph4oDcY6OxWG0dNJuWN/GMyvM3t8s/QUYSzo5KQAC9zyCbU+HdEsA/hwd5mOeBI6FH1U93QQWVdm+xU1LZSXtNCbXOn+Ro6OiiJDfcjMUqeeE2KCiQxKtBqaGjo/Nbl0nqKq5rNYUtfLzfmJYaSmSgr5FJjg4cROMjhz4FefEm1LK10dlSSkRDG0gxZrp0SGzzsvnR2qzibV80po9S7sbUbkCdyVy+IZdWCODITwwbtZ4okHL1QOii8nBwTxIYliWxYmjQoH0cO/TSz/0wxB84UU1HXZib/zSuSuW5J4qB5w/auPvafLubOTQtmJ+GHRyeJ93buZWFK5KD41+XSBnYey2PvqSI6ulV4uDmzblECm5YnsSQtatDwrEfVb7aAp3IqzRPA6xcnsn5xAvMHxPtBJoXLpfUcOlfC4fOl5lBLbLg/K+fHsHJ+LPOTwod5JNa8f39vd5aky7P4C1MjCQ/ytuh9lNa0cD6/mguFtYPi/14eLmYVQXq8rN239iJodXpKqprJN+r3C8obKattNb/Izk4OJEQEkBAVSFJ0oNHT8rc6EjBBCEFTWw/lda1U1bdT3SCHeaoaOmhoGRzqcXJUEhrgRWiALMsLDfAiJEDW9Af6yeQ+Vm39wH509/XT0aWis/eKZLO794rHa5Jp9hk94V6jV2wKjdg7nByVcjLOgFi9u5s8ejGpkUwjGy83F7ME08fTFW9P13EbDJMks6mtxxi66RpkuOubO4eNxHw9XYk0jvzkUaAPMWH+I4ZuTFBrtFTVtxtVOM0UVckhnIEjgrBAb3P4JiUmmNS4YIuiBDA++9Ut5JU2kFsqK+FqGjvM1zQ9LoQFKSZtfKjVUfTFwlrO5VUPUtZ4uDmzOC3SqhdvGsGfuCQrbEyOoUlNuHZhPCvmxQxTEFXWt3HoXAkHz5ZwuVReWiMhMoBNy1PYtDyJ8CCfQduXVrew51Qh+04VUdXQjoNSwYp5MWxZlcbqrDizg3RVxPBbOnr48Ege7x/OpbqhA2dHJWsWxrN5RQor5sUMsuAarY5jF8vZdaKA4xfL6NfqCfb3ZOPSJPME8ECvWqc3cKGghv2nizh4roS2TmPMPzVSlkMtiBskzTShqr6do8a4/8XC2kHe/9KMaBanRxEb5jeM4E0evCn2f76gxuwJhwV6GxUC8iRvVIiv1cm4xrZucorryCmuJ7e0nqLKJrOX4+XubJZ3Jhlla5YmvYb2q6G1m9LqFlnNM0DRM5As3VycjCEeHyJDfIgM9iU8SJ608/NyH/PkYb9GR0uH7G3KGvBeWjv7zH+3dcmTiu1dqhE17K7Ojni4OeHh5iJr1Y1EKf844+ZijOEbPWqzRNNRVs6YJJqOSqNU0xi/VyoV5mQqhdGdN2nxByZhmeL3Qgj0eqMG32DS4Muxe63uSpZzv3F0MUiGaTRMvap+eoyT0T3GDPKevn56VP0WQzQmeHm44OflZkxqk9VP/t7u5onyQB8Pgvw88HBzHnPYq6evX87FaOowq2+q6tuobuwYlPSkVEhEBPuYQzax4X7ERQRYzJAfitaOXoqqmiiskJMPCyubzM4TQFSILxkJoaTHyyq3+MgAq890W2cfOcV1XDTq44sqm9AbBA5KBenxoSxKi2BpejQZCaEW+9XW2ce5/GrOXJaVNQO9+FVGZc28xLBh8f8eVT+ncio5dqGMo8Z8ISdHJUvTo9mwNJE1C+OHGa7G1m4OnC1m78lCckrqAUiLC2bzilQ2L0/Gf0AWvxCCospmdp3IZ/eJAprbe3F3dWLT8mRuWZ9Jenzo7CX8v/znTd7Zf4kj50vRGwQLksPZujqNjUuTBoVfhBBcLKpl59F89p8uoruvHz9vNzYuTWLz8hQyEkIHEZHBIMguqmX3iQL2nymmo1uFi5MDK+fHsn5xAivnxw7zpA0GQW7JFe+/qkH2/uMj/GWd/7wYi94/yEPAU0ZJ1uncSrPOPTTAy6zjXZgSMSieNxB6g4HS6layi2rJLpInek0PoLOjkuTYYDITQkmPDyU1JthiHHMg+jU6ympbKa5sotjoXRVXtwzS9Af4uMsvbbis5IkJl9U8/t6jh3oG3pfOHjX1zZ3UtXTR0NJFQ6vsQcq/u4dN+oEc7x2mF/dyM09E+ni6mpOLPI1afEvZnlcbDAZBn1pjHtl09arp7FHR3nVFftlqzHFoMxpOU7x7IFydHc0yyxB/T4L95VFZiL8noYHeBFlJyLOGXpVGzuOoMyZQ1ckOQ01jh1mOayqLkhgVSFK0LCdOjLI+12RCV6+awoomLhu999ySetq75JGAm4sjGfGhsgouOZyM+FCr4c1elYZLxbWcz6/hbF6VOTnKxcnBLMteMS+G6NDhIVqTF3/S6MWfN3rxnm7OrJwfy7rFCRa9eJ3ewKWiWg4aPfnG1m4clAqWZkRzw4oU1i6KH7ZPfUsXe08VsudEIYWVTSgkiaUZUdy4KpX1ixIHnZ/eYODs5Wo+Pp7PvtNF9Gt0szeG7xsSI5I2fQVfT1duWpPOLesziQodXHOmsbWbD49c5oMjl6lt6sTV2ZF1ixPYsiqVxWlRw4a4JdXN7Dyaz+6TBTS19eDi5MDqrHiuX5bEinkxw4Z6Or2BiwU17Bvg/TsoFSxKk73/VQvihk3SgvxiFlY2cexiGccvlpNX3oAQsue9JD1anuVPj7IY4jG1W1zZxLn8Gs4XyHpfExkH+noYZZ5y2ndiZMCIZKfT6SmpaSGvrJGC8gbyyhopq2kxv4iuzo4kRAaQFB1kLtcQG25Z028JQsgp9PKEnez91TR2UGP0BE3qCBPcXBzNafohAV6yfNMY0w/0lT1ST3eXSdepW+u7qdaRRqc31xTSmrNi9bK3bozfy0ocMTyGb1TvKE0afMWVcgqODrICyKQGkuP3k6/Dt4Y+tcZcRsEUr7+SKyEb3oGhFJDJeaDU0pSXERnsS1iQt82hI41WR1VDO6U1snbe5FwMHBGE+HuaS42kxsoZsEPn0gZCCEF9cxc5JaYJ2Dpz/F2pkEiJCWZhagQLUyOZnxRuUdMP8pze+fwaTl+u5HRuldmBC/H3lLXxWXEsTo20GP7pVWk4nVvJkQtlHL1QOsiL37gsiTVZccMcRiEEeWUN7DtdxN5TRTS2duPs5MCarHi2rE5leUb0sPe4vLaVXccL+Ph4PvUtXbi5OLJxaRI3r8skMzF0EHf09PWz63jB7I3hB4XHi5ff/JD1ixMGhWz0BgMnsit4c+9FTuZUIAQsSo1k29p01i9OGGYx2zr72HU8n4+O5VFU2YxSqWB5pmxh1ywcbmENBsGl4jrZ+z9dRLvR+1+1II51ixNYNT/W4gPZr9FxNq/KXPqhpaMXSYK0uBBWzpNHAKlxwRY9JyEE1Y0dnM6VRwDn8mvMBB8d6ktWSoQ5zDOwtIMltHb0klNSZ8zoraewvNEsZfT2cLmSlGL0siKCfGwiH4NBUN/SSXldGxW1soa63OjR9QypixIa4HWlNk+wjzmuHxLghec4wgmWIISgV6WRSzCY6sX0yvp8OaavNqtaelUa+lTGcIlRo6/u19Gv0VpMCJsOyBO2DoO09m4ujlcyho1hKVM2sWlE4+VuVCp5ukxahrBao6WptYf6li4aWruobeqkuqHdbLQHhvQclAoiQ3yJDZNHfTFhcugmOtTX5on2ts4+iqtkEUFBuay+McXcAWLC/MhICGVeouzUxIT6jfiM9vT1k1NSZ5yAreVyaT06vQGlQiI9PtRc2iAjPsSqc1TX3MnJnEpOXirnzOUq+tRanB2VLE6PYt2iBFZnxQ2TZsMVZc3BsyUcPFtMg9GLX54Zw+aVKazNih826hjIMXtPFdLZo8bX05VNK1LYtiad5JigYdtnF9XywZHL7DtVhKpfS3SoL7dvnM9Nq9MGGZerIoYP8tBux8Fc3tqXTV1zJ4G+7mxbm8H2tenDJjh0egMncyrYcTCHoxfL0esNpMYGs3V1GpuWJw/StZpQVtvKzqN57D5RQIPZ+saxcVkSK+fFWrT0KrWW49nl7D9TxPHscvrUWtxcHFmeGcMa42SNpbZM+57Lr+Z4djknLlVQ1yzHKkMDvFiSLpd2WJQaMSj9eiiEEFQ1tHOxUFYbZBfVmmOejg5KUmKCjDHPUNLjLEvWrPXN9EKWVLdQXCUncw0MD/h5uxnr8/jLqfLGuH6wv9eE1CY6nZ4moyc6sLiXKZ5vShRq71KNqE93dFDi4epknvQ0lVyQiVUmV1PSk5OjA86ODjia4vkOSrmWjoOcLWvKnDXH8JEG1NK5osMfqL/XGwQ6o/JHp9MPKtwmx+61qPt1sgFSydr7PmMFV1PlV0vhGBMkCXw8ZJ39oJIJ3m5G5ZOc5Bbi7znMqRkLTMXyahs7zXVvyo11b+qaOs2T9gpJIirUl4TIQBKjAkiMkjPBR3p+B6K7V21U3ci1bHJK6sy5LZ5uzmSaM2DDrSpvTFD3a8kpqedsXhVncqvIL2/EIIRZRrlyfiwr5sUQ5OdpcX+NVseFglqOXizjyPlS6lu6kCTITAxjw2JZHmkp/GoSlchefKE5irB2UTxbVqWxNCN62Luh1ek5camCj47mcfRCGVqdnsSoQG5Zn8ENK1OHjbR7VRr2nS5ix8EcckrqcXFyYMvqNO7atIA4uUrA7Cb8spoW3thzkZ1H81BrdGQlh/OJTVmsWxQ/zFo3t/fw7oFLvHcwh+b2Xny93Ni6OpVtazOIC/cf1kZnt4pdJwr48GgeBeWNKBWSHF9bmcLahQkWh4NqjZZjF8vZe7KQY9nl9Gt0+Hq5sW5RPOsWJbA4LdLqw9jU1s3Ri+UcPlfCufxqNFo9Lk4OspbXWOUzIsjHKimbsgLP5lWZK3mahuO+nq7MN44CMhNCSY4JGvGlMKFXpaGo0qjsMVbpHFh0ysvdmfgI+QU2hXtiwvwGScLGArVGS71RAVLX3EVjaxf1LabwQhctHb3DJiaVCskYx3c3x/P9vK/E9L09BsT0jZmnky3rnAno9AZ6VXK9nO5eeQTTZa56aSyZ0NlrrEckl0ywVEDOy92ZYH8vY7xeDqWFBcjFzsKCvPFyH7kWkjX0a3RUN7ZTXttGWW0LxVVyhrfJeQHZMUiJCTYXAkyNDbZKtAMhhKC6ocMcuskuqjVLGZ0dlWQmhpnzX1LjQkZ0Mrp61ZzLq+bEpQpOXCqnqU2eQ0uKDmRNVjxrFsaTEhNk8RoIISipbjEraoqrmgFIjw9h0zI5J8jS+Zi88o+Py/OKXb3yvOKNK1PZtiad+MiAYft09qjYc7KQHYdyKaxowslRyYalSXzi+gWkx4cM619BRSP/23ORPScK6NfqWZIexV+/94nZSfhpGfPExvt/xOnLVTg7KrlhZSqf2JRFUvTwUs+XS+v5767z7DtdjF5vYMW8GG69LpPVC+KGGQWDQXAuv5p39l/i0LkSdHoDydFBbF0je/+Whm0DJ0cOni2mT63Fz9uN6xYnsnFZEguSw60Or6sa2jl4VtbS5pXJVTvDg7xZnRXHqvlxZKWEj0jMPX39nLlcxSlj9p7pZQrwcWdRaiSL0iJZkBxuMR9gKEwjguyiOnKNpRzKalrNXlqgr4csg4sOIilGLkwV5OcxZjLQ6Q3UNXXKVRDr28xx/aqGdvPLZoKjg3LQ5GGI8e9APw/8vWUpp4+n67TFvGczhBD0qbW0dsiVLk1Fzhpa5AnyBmPMvmdIuQQPN2eijIqrCGOhsyhjyY3xjA56+vopHlDvpqCikfLatkHP2cByB6N57CZ0dKvILqzlvLEqpYl83V2dWJQqSydXzIuxqKobeI3Kalo5nl3OkQtl5BTXYRDCXK/ruiWJo77PB84Us+9UEYWVTUgSZKVEsGVlKtctSbQom9ZodRzPLpe9eGPEIS0umFvWZ7JpeYpFx7Kwookdh3L46Gg+fWoNqbHB3H1DFtcvS7ZYKfTdgzm8tS+b959+dHYSvrt/pFj3yR9w9w1Z3LI+02LN90NnS/jvrvNcKq7D3dWJ7WszuHPT/EGlE0zo7lXz/uHLvLn3IrVNnXh5uLB1VRrb1qaTGGVxvQCq6tt5/3AuO4/lmeVPG5YkcsPKVBamRlh9KOqaOtlzqpA9JwvND2VaXDDrFiWydlG8RbmmCSbZ5tELZRzLLiO7SK614ebixKK0SJZlRLM0I8omgtcbDBRXNXMhv4YLhTVkF9WZVTGebs6kxYeQmRBqnjSzZOxGgsEgl4koqW6mzFicraymlaqG9kESSh9P10GTfxFBcsZuWJDXuKSc44XBIOjr15hj+gNLGmi0OnPYxRSGMU3emgqp6Q1y8bSBuQemUgsDa+ArldIAiadCDhUZw0bOTg64ODvgZiz3YIrXT6fKqKevX6502dRJbfPgImdDC5wF+3sSZ1RrxYb7kxgZQGyE/5jrIKn75TBhXpmstrlc2mAOPzo5KkmNDSErRS4/PC8pzCZD09Gt4pwxAep0bqW5QGF0qC+rFshlVBYkhY94bTu6VRy7WMahcyWcvFRBv1aPr6crG5YmsWlFMvMTw60+n1X17ew+UcCuEwVUNbTj5Khk7cIEtq9LZ2l6tMX92rv62H2igB2HcimpbsHNxZEbV6Zy1+YsYi1EIXpVGj46msebey9SUddGoK87d16/gNuumzes/pVOb8DRQTk7CT8+KU3k5V4aNjTXaHW8f+gyL314hvqWLsKDvLlrcxbb12ZYtJRV9e28vvs8Hx7JQ9WvZUFyOLdvmMf6xYkWh/1anZ79Z4p5e182FwtrUSokVsyLZeuaNFYviLMaKujqVbP3ZCEfHc0za2kzE0LZuDSJ9UsShyVsDIRJ8nnwXDGHz5ea074TIgNYOT+WlfNjyUwIHZUUhBCU17VxJreSM3nywi0mby48yJsFRvnavMQwokeZCBsKjVZHaXWLuSxzUaUc3zfFmSUJwgO9r0g5jXH96FA/mxU/Y4FWp7+yeEf3lbICcqkBFZ0DE7N65SqSA0tHjAeShDGOf0WHj1G1M9LKXbbA2VGJh9sAqam7szlU5e3hcqU+jpcr/l6ytt6aAmUi0Gh1coEz48I5ck6GPElvmvw3xeuTogPNJYqTo4NGLMBnCa2dveQWywuJZBfVUlDeiN4gZLVNbDBL06NZnB7JvMSwUUcAptGrSTp5Lr8GrU6Ph5szK+fHsH5RIivmD5dODkSfWsOJ7Ar2nyniyIUy+jU6gv09uWFFCjetSScmzM/ifiYFzs5j+ew6nk9Xbz8h/p7csj6TW67LtOhICSG/8+8cyGHPyQI0Wj3LMqO5e3MWK+bFDns3DQbByZwKXvv4PKdzK3F2cuDmdRk8sG2Jec0QuIombdUaLe8dyOGlD8/S3N7DvMQw7t+6mNUL4yxW0btYVMsrH57lyIUyHB2UbF6ezN03LBw2A25CU1s3b++X4/9tnX1EBHlz8/pMblqTZnXiSW8wcCqnkg8OX+bw+VK0Oj2x4f5sWZXKpuXJFiWbJphm6vedKmT/mWJaOnrNks91C2VVwMAFWqyhs0fF6dwqTmSXcyq30ix5iwjyZlFaJAtTIslKjRj0UIyGgfHTy6XyikAlVc1mr93DzZnEyAASTXpqY2zf0sT2eNCv0Q0KQTS2dg0qBdDS0WtRvw/G5R5N9XbcXfBydzauoOWCh9uVJCzTSlIDk7CcnRyurEilVKIcWEhNIY04ohJi+KIn2gE1700JV1eWu9TJE7VqjTmpqqfPpLEfrLO3liXs6uxIgK+7uUxFoK+HUV9vDI0FeE2asdUbDNQ2dcqrTFW1yNmxlU00GPNBQHYq0uJCSI8LIWMM80gm9Kk1XCquk+tO5VWTV9aA3iBwdnIgKzmcFcbJVltGt31qDWdyqzh8oZQj52XppLOjkuXzYrh+WTKrs+JGJf/D50r5+Hi+uU5NWlww29ZksHlFstWM936NjsPnS9lxKJfTuZU4KBVctySRuzZlDZNSmtDe1cc7+y/x9v5smtt7iQnz494ti7hxZapFB7O0uoXXPj7HR8fyUUgS29am8+D2pSYF3+wmfI1Wx3sHc3h+x2laOnpZmBLBI7cuZ1FapMUEiROXKnj27RNcLmvAx9OVOzbO547r51sNV+SW1PPax+c5cKYIgxCsmh/HnZvmsywjxnqWa2s3Ow7lsONQLk1tPXh7uHDDylRuWpNGcrTlyR8TSqtb2Hksj10n5FwAZ0clK+bHct3iRFYtGJ7wZQkVdW0cOV/K4Qul5BbXYxACL3dnlmbEsCxDVviMZGyGQqfTU1DRZA775BRfCf24uTiRGhssl3aIk1ffCgu0nD8wFqjUWvNyd9WN7ebVtWqbO2lq6x6mdff1chtEbP4+MtH5extr6BsLrE12zXx7gEarG1AUTUVbl7EmTrscq29ql0sbt3T0DlMuebk7Ex7kY8yGlrOjI4Llonh+XrYVSBsJnd0qioyLjFwuayC/rMFsBBwdlKTGBsuVKVMimJ8YZtPzbUKPqp8L+TVy9cncSnOpE9Mc2NqseBYkjxyyATnUkV1Uy8EzxWbnajQN/EC0dvSy+0QBHxy5TEl1C87GydRbr5vH/KQwq9ewqr6dN/dd5MMjefT09ZMcE8Q9Nyxk0/LhcXiQR637ThXx6s5zFFY24evlxv1bF3Pn9fMtOlP1LV28+P5p3j98GSEE29dl8L2HN00d4UuSFAm8CAQjj3D/KYR4esg264H3gHLjR28LIZ4Y7diLFy8WT/zxRZ558xiNrd1kJYfz2TtWsig1cti2QsjDnefeOUlOST2hAV48cNMSblqTZvFCCSE4nl3Of947RU5JPR5uzty8LoNPXL/A6oSPEIJzedX8d/cFjl0oQyBYnhnDzeszWJMVP2LaeGePit0nCnj/0GUKK5tQKhWsyIxh0/Jk1iyMH3Vobkqn3n+miANnis0PfnJ0EKuyYlk5L5a0+BCbddmmhV1Map/swlqzuiMyxId5icbEroRQiwXexoI+tWZQRc7yWrlcgyneaoK/tzvhwd6EB3rLMf4gb/NaqoF+HuOuwXMtwWAQtHf3mUdH9c2ypr6mqYPaxg7qW7oG5R14ebiYl76MDQ8g3riE4FiyqS2hpaPHvEzgpaI68ssb0ekNSJK86MeVdSUixhSWqm3q4MSlCo5dLOdsXhUarR5PN2fWLIxnw5JElmVGjzqiMBgE2cW17DlReEUD7+XGllWpbF9nWc1nghCCgoom3j+Uy8fH8+lVaYgN9+euzVlsXZVqdYSrUmvZeTyf13edp6KuDX9vd+7dsog7Ns63mBkshOBsXjUvfnCG07mV+Hu7c/9Ni7l9wzyLbTS2dfPCjtO8dzCH4y/835QSfigQKoQ4L0mSJ3AOuFUIkTdgm/XAN4UQ28Zy7ICwOBG/8THS4oL5/J2rWZoRZfEhvFhYy5//e5jcknpC/D158OZlbF+bbpEgDAbB4fMl/GfHaQrKGwkN8OLeLYu4aU261QdPp9Oz+2Qhr3x0lpLqFnw8Xbn1ukxuWZ85ohcthKwGeu9gDgfPlqDR6kmODuKmNWlsWp6Cn7dlff5AlNW0sOtEAXtPFlLT1IlSIbEwNZJ1ixJYuzDeppCPCU1t3Zy0sLBLfIQ/WSkRLEyR1T4D63aMFZ3dKmN9/iaKq+RlGGsaO8zeurOjkmjj4iuxYf5Eh/kZlSHeE9KKz8E26HR6Glq7qW6Ul7OsqGujwmiMOwdUNvX1dCUpJogkYxmEtLgQq1nhtsC0gPeFghrO59eQU1InLxSikMhICGPFvBhWzI8hKSrIZueiTy1nux4+V8rh86V0G0uir1sUzw0rU4YVUrQErU5vVs8cuVCGXm8gPT6EW43qmZHWAlaptew5Vcibey9SWNGEl4cLd2yYzyc2L7AaTTAYBKdyK3jlo3OcuVyFj6crn7xxIXduWmC1+ujFwlr+9fZxzuZV4+vlxmduW86t182zKEOta+4kPMhn+kI6kiS9B/xFCLFnwGfrGQfh+wRHi1fe/Igtq9IsPgRVDe387Y2jHDhTTKCvB4/cupxtVoheCMGxi+X8/X9HKaluISLImwe3L2Xr6jSrD0WfWsN7B3N5dedZmtp6iAv355M3LuQGK3E1E+RZ9cv8b89FKuvb8XRz5sZVqdy8LoOkaMvzBwPR2tHLx8fz2Xksn+KqZhSSxOL0KDYtS2LtooRRa48MPOeC8kZjDLPMrBYK9PVgubG08yILC7vYCq1OT1FlEzklV1bpGljoKizQm8QouWRDYmQgsRH+hAd5T+v6sSCTjWkBFVNcvKfPVEmznz7jqlimImbySlg6c5kFnf7K4uN6vbzMoam8wpWyCnJhNQfTIipKhbkgm5NRmePqbFrdytFYEdMRdxfjylXGKpim4mdjWaBkMmBKriqvaaWkRk60K65sprSmxTxv4+XhQmpssHlxnoyE0HHPD6g1WnKL6zltlBsXlMtyZT9vN1YviGPNwniWZkTZrATS6vScy6tm76lCDp4tobuvX85cXZ7M1jXpVjX2A9He1cfOY/m8dzCHiro23F2d2LY2nbs2ZRER7GN1P9N84X8/Ps+hcyU4Oii5aU06929dPOJ+l4rq+Pd7JzlxqQJPN2fuv2kJ99yQZXWUkF1UyzP/O8b5ghpiwvz40t1rWJMVN+y8pi2GL0lSDHAYyBBCdA34fD3wFlAD1CGT/2Urx3gUeBQgMipqUVVl5bBt+tQa/vX2CV7ffQFnRyX337SE+7Yssnqhckvq+dNrh8kuqiUyxIfP3LqC65cnW03UUKm1vL77Aq/sPEtXj5qs5HAe2LaElfNjR3xomtt7eHXnOd47mEOvSkNaXDB3Xr+AjcuSRn1wdXoDJy9V8O6BSxzPLkdvEKTHhbBldSoblibZTMomtc/e04UcOFNMU1sPCkliflIYqxbEsWJ+zKA1e8cClVpLTkmdeQnHy2UN5uqcJl11ulHemRwTNKZY7Xig1mhpaJFDF83tPbS0y7ViBhYPa+vqG7UssouTA67GCVwXo2TSyVjvxslBaSRx+cdUK8dUOweMGbYCDIYrk7U6vQGtVmeuz3Mls1ZrNjAjvXoOSsWgDFpTpctAXw8CfN0J9vck1DghO5WGQavTU1bTSr6xBtPQvI3YcH95ZTfjCm+2JFRZgmmhkGMXyzlxqZxelQZnYzHD65clsWp+3Ije9kBotDpOXKpg1/ECjlwoRaPVkxAZwM3rMtiyOm1UI2Ui8Lf3ZbPvdDEGg4FV8+P41PYlzE8KH3Hfqvp2Xv7oLB8dzUOvN7B5RTKfvX3liMSfX97Ic++c4MiFMgJ83Pns7SvYvi7DagmWIxfK+OvrR6ioa2NRaiTfenDDIDnntBC+JEkewCHgF0KIt4d85wUYhBA9kiRtBZ4WQiSOdsyhKh0hBAfOFvPHVw7R2NrNLesz+Nydq6ySYWNbN3/572F2nyjEz9uNz962gpvXZVj16LU6Pe8eyOE/752itbOXlfNjefiWZWQmho3Yz+rGdl764AwfHc1HrzewcVkSd9+QRWbCyPuBrAF+98Al3tqXTVNbD37ebmxbkz6iBMwSiiqb+fh4HntOyuncTo5KlmXGcN3iBFYtiLN5VDAQeoOBvLIGTufKiy/nlsj1SRSSRHJMEAuSw8lMDCMjIXRMCqCxoLNHRWVdO5UNbfL6ucZJ3brmzmEFv0D2Qq8siC5n5sqTuVcqbHq6y7JHDzdnXF0cp33EAVfW5u1Vm7Jo5fV5u3rUZnmpKXPWVB66rbNvWN0fNxcnOVvWWOgsLNCbqBBfosP8CPbznJL8hl6VhvxyufyBXM6jzix3jQ71NdetWZQWadMiKUOh1ek5n19jzmxt7ew1lzm5cWUqy+fF2Dyf09WrZu8puQxBfnkjzo5Krl+ewj03ZNk02m5u7+Gd/Zd4c+9FOnvUzE8K56Gbl7JiXsyIhralo4fXdp7nf3svotMbuGVdBg/fupxAX+tlJrKLavnLf49wqbiO+Ah/vn7/dSxOj7K4rU5v4N0Dl/jHm8foU2u5b+tiHr5lGS7OjlNP+JIkOQIfALuEEL+3YfsKYLEQomWk7QYSfmtnL798dg9HL5aREBnAdx66nnlJlglVp9Pzys5z/PvdkwghuO+mxTxw0xKrMWIhBAfPlvCn1w5T19zJguRwvnjX6lGteW1TB/98+wS7jxfg4KBg+9oM7tu6aFhdH0uorG/j1Z3n2Hk0j36tnqXpUdy+cT5rsoZnBluDaQj6oVE5oFQqWGmSnC2MG9fL1tmj4kR2BceyyziZU0lXjxpJguSYYJakyVm98xKtVyAcL7p61RRVNpkTt0wTu+0DpJdKhUSwv5eZ4EIDvAgN9DIvkh7g42E11KbT6untUdPTPeCnS0Vvj5ruLhU9XWp6ulV0G3/3dqvp69Wg1+nR6YyJV3oDBoNBrp9jGJx4hSTJq1wpFSgcjJUyHZQ4uzji4emCu4cLHl4ueHq54uHpgoeXK56errh7yp97eJp+XHG24snqDQbau/pobpMXGW9o6aLOuDiJaUH5gWUVnJ0ciA71JTZMnoiNDfMnMSrQ5npKtkKnN1BS3cy5vGrOXK7iQkENao0OpVIhjyznx7FmYdygJUlthd5gILuwlr2nith3Wl7wyNvDhRtWpLDdxhCpCYUVTbx74BIfGUu0LEyN4L6ti1lpQfM+FCq1lh2Hcnhl5zkaW7tJjgni83euson4//3uKd47mINSIXHvlsU8uH2p1dGKyan982tHqGvu5LoliXz9/vVWR05tnX38+b+H+ehoHqEBXvzo0RtYlBY1pZO2EvAC0CaE+JqVbUKARiGEkCRpKfAmEC1GadxE+PtOF/Hb5/fRp9bw+U+s5q7NWVbDMfnljfz8X7soqW5h3aJ4vnbv+hHTrMtqWvjDywc5fbmKhMgAvnzPWpZlRo9cjbKzl+feOcm7B3NwUCq48/r53LdlsU2TnfllDfxnxykOny/F0UHJllVp3HNDFnERw+tqWIIQgvMFNby1N9tcFiI9LoSta9K4flnyuDz5lo4eDpwp4cCZYi4W1qA3CHw9Xc01/pdmRI/ruNYwcH3e/PJGCiuaBil2PNyciTMmbsWE+REdJqf4h/p7WTSGapWGlqYuWpq6aWnqoq66ldqqNupq2mhv6aGnW4Wqb+SEKwcHJZ7erleI18sVJ2cHuUiaAsBYKU2S/5YQCHPqlXk1c+P3piUQBVqtnr6efnq61HR3y4ZFrRq5L45ODnh6uuDp40ZouC9hkX6ER/kTFOKNf5AXAYGeePkMl1MKIWjr7KOqUa5LX1nfbl7IZqBW3tPNWU6WigkacR3Y8UKr03OpuM6cAGVaOSo61Jf1xsJjtsTUh0Kn03Myt5KdR/M4fF4O1aTEBnPHhnlsXpFicw5IV6+a9w7m8L89F2ls7SY23J8Hty9h0/KUUYv+aXV6Pj6ez3/eO0Vtk+wcPnbPmlFH83VNnfzjrWN8fLyAYH9PHrt7DZuWJ1u9BmqNllc+OscLO06hVCr58ifXctt1mVa3v1BQw8+f3U1tUwenXprCeviSJK0GjgA5gCmX/vtAFIAQ4hlJkh4DvgDoABXwdSHE8dGOvXDRInHTI0+w+0QhyTFB/ORzN1olRq1Oz3PvnuTF90/j5+3Gtx+6nrUL460eu1+j49l3TvDKR2dxd3Xi0TtWctuG+SPecI1Wx2sfn+f5Hafo1+i4ZX0mj9y23KZqgIUVTfz9f0fNEzR3blrAXZuybFLqmPr78fF8Xvv4POW1rXi5O3PTmnRuXpdhs7EYiO5eNfvPFPPxsXwuFNYghFySdv3iBNZkxQ9bFWy8MCVwXSyq5ZJx4RaTpBRkCWhydDDJMYEkRQURHxlgcS1dTb+Wupp26qpaqa1upbykifLiRprqO+jpHrpurkRQqDdhkX74B3ji5OKAMIBer5dXpTKWTdDr5Hr3Oo0ejUZHv1qLWq2lu1NFT5cKrdZ6JU5boVAqcHN3xtvHDVdXJ5xcHHB2dsTBybSqlgIHRyVKB6VcT1+pQKGUMOgFne191NfIhkvTP7ggmqOTAwFBXkTHBxKXEExETADhkf6ERfnhZeGZ6lXJ0tiiKjlDuqiiieLqK+vA+ni6kpkYxvzEMOYlWV8Hdjyob+ni6IUyc8FAvUEQHuTN5hUpbFmVOi7Pv7NHxa7jBbx74BKlNa14ujlzy/pM7r4hy+Z5BJ1Oz95TRbz4wWlKa1oJD/Lms7ev4IYVqaM++1qdnh0Hc3n23RO0dfaxcWkSX7133aiqueyiWp568QCFlU0sSo3kB5/ZPKJDWtPYwa//s5fTl6tYmh7F45/ZbHWRpD61hj+9dnhqdfhTCf/QWJG06Ss8esdKHti2xCoZVze2870/fUBxVTM3rU7j/+5fP+KEYW5JPT9/djflta1sX5vOY/esHdWDPZVTyW9f3Ed1QwdrF8bz2D1rbHpQ65o6eebNY+w6UYCXhwv3b13MHdfPtznc0qPq5+192fz34wu0dvaSFB3IXZuz2LQ8ecy1TAwGwdm8Kt47mGP2kKJCfLlhRQobliaOy3BYQmNbN6dzKzl7Wdb4mzJ/vTxcmJcQZl6iztr6vB1tPVSUNFFcUEdhbi0lBfU01HUw8Fn1D/QkNjGYkHBfXF2dQJLQaXT09WnQ9Gvp6uijva2Xhtp2+oasxQrg4uqEu4czrm7OuLk74eLqhLOLI07ODnh5u+HhJYdh3NydcXF1kpc/dJLLJ5sWKjeXRxbGssimBVT6dWg0Wvp6++nt6aenW01XRx9qlUY2KiotKpUGVW+/eZuh76Gjo5LgMB/8Ajzx9nXDxdUJV2MfJQm0Wj2tzd1UlDRRU9mCYUCIydvHjdjEYJLTw0lKDyc2Qb5OSgtleUuqW8gvk+Px2QPWgXV2cmB+UjhL0iNZkh5NcrTtcsmR0Nmt4tC5EvacLORsXjUGIYsTtq/LYPMKy0XERoJpgvXNPRfZf7oYhULihpWpPLh9ic2GxGAQHLlQynPvnKSwsomEyAAeu2cNyzNHDteATLKvfHSWlz48iwR8+pbl3Ld10YhzDHqDgXf35/CX148ghOBLd6/hjo3zrV5fIQTvHMjhz68dAiQe/8wmrl+WbPX4szbT1isoWuzed4jlmTFWtzl0roQn/rkLhULiR5+9gTUjePU6vYF/vX2cF94/TaCvB99/ZBMr5sWO2IfuXjVPvXSAncfyiQzx4ZsPbGD5POv9MUGl1vLcuyd47ePzKBUS99y4iAduWmyzcqVXpeH1Xed5dec5uvv6WZYZzQM3LWGxhezi0dDZrWLHoVzeOXDJXDTuxhUpbF2dRkps8ISH8nqDgUvFdRy7UMaxi+WU1bYCcmbs4jR58fYFyeEWF7FQqzQUXq7lcnYVednVFOXV0dk+YDWkcF8SU8OIjgvEx9cdjUZHR3svTfWdNNa1U1nWPIjQHZ0c8PP3wMfPHR8/d4JCZE8/NMKP4DAfvH3c8fR2xckY6zcYhHnxlO4+NT198oIpKrUWtUYugWAqjaAzFlIzCIEwyGUUBkoyzQXTjD8uTg6y8sfZETfTIuRuzngaFx03kYJeb6C3W01XZx/NjV1mr76htoP21h462nppb+2hd4BOXqlUEBkTQGiEH0Gh3vgHeuLq5oRapaW2qpXSwgbKihrQGyWVzs6OxCQEkb4girR5kaTNj8I/cLg32trZy6UiWYl1Lq+K0hrjvfR0Zfm8GFZnxbF8Xsy45oeGorm9h90nCvjwyGVKa1pxdXbkhpUp3Hn9AqvFDEdCXVMnr318jvcO5aLR6ti4NJnP3bFy2Cp51mAwCPacKuQfbx6jtqmTpelRfOvBjTbtX9/SxR9fOcjBsyXER/jzw0dvJDU2eMR9Glq6+OW/93Aqp5KFKRH87EtbR4wW1DV38uO/7+RScR2fvHEhX7p7jUXDMmsJf/6CLJF98YLF7wwGwZ//e5hXd54jJTaYJx/bNuLQqK2zjx/+7UPO5lWzfW06X7t//agP7amcSn72r120dfby4M1LeWj7MptqrB+7WMZvX9hPfUsXN61J5/N3rhzTMPOdA5d49p2TdHSrWLswnodvWUZqXIhN+w9EVUM7r3x01jwxvDAlgluvy7RaNG4s0OkNnMurZt/pIg6dK6GjW4VSqSArOZyV82NZlhltUf6p0ejIy67m/KlSLpwuo6SgHoORlKLiAknNjCA6PggPT1c0/Vqa6jupKG2irLiBlkY5zm8K2YSE+RIZE0B8cgjhUf5yCCfQE4VCYV5Lt66505h12k1TWzdtncYF0jvkgmtdPSqbV7xycpT19QqFAoVxohYwk7+8WLne5uN5uDnj4+k6YLFxN3MtHNMSkMH+nmYVUXeXSjYG1W2UlzRSXtxIQ10HDTXt9BsL2Lm6ORGXFEJsQjAR0f64uDohgOryZorz6yi8XGsOD4WE+7JgcSxZy+JYsDQOH9/hc1CtHb2cuVzFiUvlHL9UQVePGgelgiXpUWxclsS6RQkTrtUjhCC3tJ53D+Sw52Qh/cYJ1fu3Lh5VCm0J7V19vPbxed7YfQGNVse2tel87o5VNicUanV63tqXzb/ePkG/RsdD25fyqe1LbApxHb1Qxq/+s4e2LhUP37KMh25eNmKYWAjBB0cu87sX9uPm6sQvvnQTCy1UEhjYt6dfPcT/9lwkLS6Y3/3frcPOa9YS/lBZpglanZ4f/30n+04XccfG+XztvnUj3oyckjq++/T7dPeq+dZDG9m+NmPEdnV6A399/Qiv7jxHTJgfP/ncjTYRblevml//Zx97TxUSE+bHdz99PVkpEaOfqBFnL1fx2xf3m/W1X7xrNRkJoTbvb0JZTQv/evsEB84WmyeG79q8gITIsXtNQ1FU2cQHRy6z+3gB7d0q3FwcWbUgjusWJ7JsXrRFI9rU0Mnpo0WcPlrExTPl9Ku1KJQKUjMiyFwUTdq8SNw8XCi6XEv+pWouZ1fT1iJPMjo4KImMCSAmIYik9HCSUsOITw7B1bjEpEarM09OVtS1UVnfRk2TXO53aM13Z0cl/j4e+Hi54ubphJObA0onJThKGCSBDoFWGOg36NHodWj0etQ6o5Zer0er16PRG9e2NSZfIYFSkg2AUiEnWzk5KHFUKHFxdMBZqcRJqcRJ4YCzQomDJKE0SKAHg0aPVq1H3aOls6uP9s4+uoaEnxwdlIQFehEeJNeolyeyZdWNiWj1egPVFS0U59VRmFdLWVEDFSVN5hGBs7MjKZkRpGRGkLEgChc3J0ry68i9UEX22XLzHEhiahhLVyeybE0yiamhKIbIVfUGAznF9Rw6J0/w17d04aBUsHJ+LNvWpLNqQeyESzx39sij0Td2X6CprYeEyAAeuW056xcljjmk1NbZx/Pvn+Ktvdk4OSp5+NblfPKGhTb3sbWjlz+8cpA9JwuJCvHlp1/YQpqNPPC7F/az60QBGQmhPPnlbaM6fKXVLXzvz+9T3dDBF+9azf03LR7R0O0/U8RPn/kYXy83/vzdOwaVg7+qCF/dr+V7f/6A49nlfPmetdx/k8XzMuPg2WJ++LePCPL14Mmv3Gxx8ZSB6OxR8YO/fsTp3Eru2Difr9y71qZY+aWiOn7wtw9p6ejlM7cu54FtS2zWCrd39fH7lw+w+0Qh4UHefO2+9RYz6EZDXXMn/3jrOLuO5+Pq7MRdm+WJ4YmUSgA5PLXrRD5v77tEYWUTjg5K1mTFsXlFCivmx1i8PjWVLRzbn8/R/XkU5dUBske5ZFUii5bHE5sQRF52DWeOF3PhdBntrT3mbVIyIpi/OIa0eZFERAfg4ChfR41WR1FlM7ml9RRWNMkyzro2c9hCIUmEBnoREeSNt78bju6O6B2hz6Clo7+fpp4eGrp66FSph/UXwMXBAQ9X49KHzg44OJrklRKSQlbrmBOuJFNpZLMwx+jpg9ALDAbQ6QzotAY0Wh19ap28tq6VJQtdHBwI9vIgxMsDXxdXPB2ccDRIGFQGuttVNDZ3U9XQTv8A2WVogBcJUYEkRQWSHh9CRnyouTyxEIKWpi4KL9dy6WwF+TnVlBbKIR4nZwfSF0SxaHkCi1fEo1ZpuXC6jDPHiynIqcFgEPgHerLyulRWb0gjMysK5ZBnWQhBfnkje04Wsut4Aa2dvfh6urJ9XQa3bZg3psJ9lqDV6dlzspAX3j9NRV0bSdGBfOmuNaMq6CyhurGdp185xJELZcSE+fGDz2weNbdmIE5equCX/95DS0cvX/zEau7dssgm47PnZCG/fG43Ls6O/OarN4/aZq9Kwy+f283eU0Xcsj6T73x644g5IvllDXz1t2/j6KDk6W/fbnborhrC71Vp+Mpv3iKvtIFvP7SR2zbMG3H/Xcfz+ek/PiY1LoSnvn7rqBOzlfVt/N/v3qGxtZvvPLSRm9dnjtpHIQQvf3SWv79xlJAAL37+pZts8gJMOHqhjJ//axfdff08dPNSHti2ZMyTsSq1ln+/d5LXPj6PQoK7NmfxwE1LxlybfCga27p5fdd53juYS09fPwmRAdx6XSabV6RYXN6wu0vFgY8vseu9C5QUyOsBJKeHs2pDKivWpeDs4sCxAwUc259PXnYVBoPA29edrKVxLFwez8JlcQQGXyGKPrWGS0V1nMuX6/oXVDSZK0EG+LiTGBVIZLgvDp4OqBV6Gvv6KGlupaK1HY3+isLGzdGRUF9P/LxdcXVzQOmkQK/Uo0ZHn15Ll05Nh0ZNp0ZNv3748oCTBaUk4e3kgreTK96OzngonXGRHHAQSoQGNGo9XV39NHT00No7OKkszNuLpCB/wj098VQ6IakETQ1dlFS3UFXfbs58jQzxYUFSOIvSIlmUGjnIs1SrNFw6V8H5U6WcP1VGZWkTAKHhvqzakMrqjWmEhPly7mQpxw/kc/Z4Cf39Wnz9PdiwZR433JJFdNxw3fvA9aOPnJeLCq7Oiue+rYtYkBQ+oTkivcHAruMF/POt49S3dLE0I5pvfWqDzXH5gThyvpTfvbifxrZuHrhpCZ+7Y6XN3n5Xr5pfPLubg2dLWDk/lp9+YYtNoayymha+9Yf3aGjt5nsPb2Lb2vQRtxdC8Mybx3h+x2luWJHCjx69YcQ+ltW08JXfvEWfWsvT376dzISwq4PwdTo9X/vdO5zPr+YXj23juiUjJ+q+dzCHJ/+9h6zkCH739VtHnf0vqmzisV+9iUKh4LdfG90am/r082d3s/NYPhuWJPL4Zzbj4WbbZJZWp+evrx/htY/PkxgVyE8+f+O4Qi4nL1Xwq//slecLVqfxuU+smnDWa2NrN8+9e4IPjuQhDIINSxP5xKYsq2VgK0qbeO25wxw7kI9WoyMhOZSN2+azekMabu5OHNmbx673zpOfUwNAbEIwK9ansGxNEklpYebQgRCC8tpWjl0s5+jFMnJK6tHrDSiVCtJig8lMDCUgxIsehZbi1jaya+qpbr9SuyfEy4OEIH98fV1QuEj0SRpaNL3U9HVS29s1aIEShSQR4OJOkKs7ga5ueLs44O4o4eggcFAKJMmAJOkxoDP+6NELPQZhwIBBrqWDcdLW+E8hKVDigEJSoECJAgckHBAGBXqDAq1eQqWF7n49zSoVzapeGvt60BgGyz/9XdyIdPchxMUDT8kFhUait1tLZVMHZS1t6I3n4e3iTGZ4CBmhwfg7uqDp0JJf1kh2YY05NBQV4svK+bGsWhBLVkrEoFFnU30Hp44WcfJwIRdPl6PT6QkI8uL6bfPZvD0L/0BPzhwv4cDOS5w8XIhebyAlI4I7H1jJqg2pw0I+pmfHVNe9s0dNZkIon79zldWMUVuh0ep4e/8lc1z907cs41NjGEWb0KPq50+vHuK9g7mkx4fwi8e2jbgw0UAIIXhzbzZ/fOUgoYFePP2t221KsuzsUfGDv3zI6ctVfO3edXxyy6JR93nh/dP87Y2jrFkYz5Nf3jbieTa2dvPFX75BV6+aZ3/8SWLC/Gc/4T/10gHe2H2BH372hlGt5N5Thfzgrx+yPDOGX311+6gec1ltK1/4xRs4Oznw1+/daXF5xKHo1+j4/p8/4OjFMh69YyUP37LMZk+mvauPb/3hPXJK6vnEpgV8+Z61Y55EVam1PPXSft4/fJnoUF++9/CmMc0XWEJXr5r/vHeK/+25CMCt12Vy75ZFFofnQgjOnyrjwzfPcPxgAa5uTly/bT433LyQhJRQaipbePW5wxzenYtWqyc6PoiNW+axakMqEdEBg45TXNXMnpOF7D1VZF6vNyk6kOWZMSTGB9EhNJysqOJkeTVtfXLmbZCnO/PDQwgP8sLgImjW95Df3kRRZ4uZ2J2VDiR4+xPn5UeYhysezgaUDlr6RS9dui5a+ttp0XTQpe0ddn4mOCkccVE64axwwlnhiKNCJnSlpDCmXyEbAWFAJ/T0G7T06zX0GzSo9MPloCa4KJzwd/Yh0NkHX0cfXBUeYHBGpVHS0qulvLuDks5WWtVXPP0QN0/m+YUQ7uKNq86RjnY1ubVNFDe1IAAnpZIFkaGsio8m1sOHlvouTl+u4lx+NRqtHjcXJ1ZnxbJ5ecqwMsI93SpOHSni4K5czh4vxmAQpGRE8MlH1rJsTRKd7b3s/TCbne+co6ayldiEYLZ9Ygkbt84zz6cMhLpfy/uHL/PiB6dpauthaXoUX/7kulFDqqOhtaOX3798kL2nCkmIDOBnX7ppxHLG1rDvdBG/eHY3SoXEk1/ZzuI02w3SxcJavvWHd3FydODP373Tpva1Oj0/+ttH7D9TzLcf3Mgd188fdZ//7bnI717cz/XLkvn5l7aOyC91TZ18+iev4u3hwv9++/DsJvydx/L4yTMfc/cNWXz9/utG3Ke4qplHfvoaKTHB/Pk7d4xKpHXNnTz6s/9iMMAzP7iLqJDRyV7dr+XrT73L+YJqvv3gRm7fOPrNM6G+pYsv//pNmlq7+dHnbhxRT2sNVQ3tfPuPO6ioa+VT25byyK3LJ6S6EULw0dE8/vjqIbp71Wxdnc6jt6+wmuBRWtTAX3/9IZcvVuHt48aW2xdxx30r8fR25fLFKt797ymO7c/D0cmBG29ZyIat80hOHzy0b+/q48Mjebx/OJeKujaUSgVL06NYtyiBpIQgztTW8fHlIrJr6hFAoIcbK+KiSIsIot9Zy+XORo43VNGilsna28mFBQFhzPMPJtTTGaWDijZtC2W9tVT21tOrv1KiwUnhSIiLP0EufgQ6++Lv5I2fkxdejh54O3rgoXTESaFFKWnRiz60hj50QoXOoEYv+hHoMQg9AoPRt1ciSUqUkiMOkisOCmccFG44SO4YcEJrcESlhy5dL13aHto13bRqOmnp76C5v416VQvduivE7iApCXcNIs4jnDCXEJQGDzpUEnltzVxsqaOyuwOQDdqiwHCWBEbgjzu1jV2cKq+hoFGuihru48X1KQlsSo6nr03N0YtlHDxbQmePGk83ZzavSOHW6zKHlSdoaeri8J5cdrx+mvraduKTQ7j1nuWsvyEDpYOSg7tyePOl45QVNeDr78FnvrqZjVvnWSSkfo2Ot/dl8+8dp+juVXP7hvl86e41Ey7Ncfh8Kb98djeqfi2Pf2Yzm1ekjPkYNY0dfPMP71HT2METX9zChiVJNu9bVtPCY796C51ez1++e6dNJR50Oj3f/dP7HLlQxk8/v4UbV6WOus9LH5zhL68f4Yt3rebB7UtH3PZcfjVf/tWbnHjx67OX8F99ayef+emrpMWF8Jfv3jliPKtPreGhH71Cr0rDiz+/f9QKkz2qfh7+8au0dfbxzA/usimkojcY+NYf3uN4djk/evRGtq5Os/l8aps6+OIv/0ePSsMfvnGb1VpAI+FsXhXf+9P7SJLEz790E0szosd8jIFo6ejhF8/u4Xh2OfOSwvjWpzZYfXjra9r477+PsPv9C3h6ufLQlzZy/bYFODk5UFpYz9O/eJ/Cy7V4eLqw5bZF3PnASnz8BuuKS6qbeenDs+w9WYhOb2BeUhhbVqWxZmEcZ2pqefN8LifKqhBAakggG1PiSYsKorC3mV3VRVxskSeAA13dWRUSw7LgSKK8XWjVNZLdUUROZwm9OpncnRVOxHtEEOMeSpRbKJFuwYS7BuHj6EK3rpYuTRXd2hq6tbV0a+vo0zWh0reiNQwvyjZRKHDA1cEfN4cA3B1C8HSMwMspAi/HSLydYtAYlNSpWqhRNVLV10Blbz2lPdW0aWQpqoOkJMEjkgW+ycS5RdOhUnKuqZbjDZUUtMsEH+bmxeaoRFYGxtDeqmJ/YRnHy6rQ6vVE+/lwe1Y6t2SmUlbZwq7j+Rw4U0y/Vk96fAj3bV3M+sUJgyYJdVo9+z7K5q1XTlBZ2oS3jxuPfGUTm7YvQJIk8rKr+ecfdlGQW0PqvEju++w6lqy0HGrt6lXz7DsneGP3BYL9PPnhZ2+YcJinpaOHx//yIRcLa/n0Lcv43B0rxzxf0NWr5htPvUtuST0//tyNNpGwCTWNHXzxyf+h0eh47ieftCm806/R8bXfvU12UR1//s4dFhdzGgghBD/460ccOFPE3x+/a9T6Xu8euMRtG+bPXsJP2/I1uezwLz+Fr9fIZQie+OcuPjp6mb98906bhmg/eWYnu08U8Jfv3jmi9nUgnnnzGP957xTfenADd16/wKZ9QH44H/nJa/T1a/nLd+60uq7uSDh4tpjH//IhkSG+PPX1W2x6wEbC6dxKfvDXD1FrdDx29xruvH6BVfXB8QP5/OZHb6PXG9h62yLue3Q9Xt5uNNV38MxTH3PsQD6+/h488Ln1bNw6H5chHlxZTQt/e+MoRy6U4ersaFZzBPp78OqZbF46eYGW3j7CvL24dUEqm9MSKexr5rWii5xsrAIg0z+EzZGJXBcej6Ts5VhrNsdbsmnul0s1hLj4M98niRSvGJI8o4l0Cwahp62/iCZ1Li3qPNr6i+jW1iDMVUDARemHp2Mobg7BuDkE4Kr0w1nphZPCC2elF44KN6Pn7oJSckYhOSChQJIUxli+HiH06IXWPBLQij40+h40hi769V2o9e2odK306Zrp1tXRq21EcCV276r0x9c5AX/nFIJcMwhwycBF6U1LfwdF3ZUUdleS21lCUVcVBgy4KJxY5JfGmsAFRLtGc7K+ht3VxRyuK0dj0BPp4c3dCfPZEpHMxYp63snO42xlLY4KBVszkvns6iUEubuz82geb+y5SE1jB5EhPnzhztVsWJo4iDiFEGSfKeelfx4k90IlEdEBfOGbW1i8MgGDwcDuHRd45V+HaGro5Oa7l/L5r984TNVjQk5JHU/8YxdVDe18+uZlPHrHygll8Gp1en7z/D52HMpl29p0Hn9k85iPp1Jr+cbv3+VCQQ1PfmUb6xePWsjXjMr6Nh75yWuEBHjx3I8/adNIu6evn4d/8iq9Kg2vPvkpiwKIQdur+nnwBy+j0el55ZefGnWyeNZO2iamZAi/JQ/zxBe3csMoQ7ajF8v4xlPv8umbl/H5T6wa9dgncyr46m/e5uFbl/G5O0bfHuBCYQ1f+MUbbF2dzo8evcGmfUBWMXzhF29QVNnEP354NykxI2fgWcLZy1V89bdvkxIbzB+/eduEa82/fziXJ5/bQ0yYH09+ZbvVNHRVXz8v/eMgb718nKT0cH74m7sJCpFj+scP5PPrH76NEII7H1jJrfcsx8tnsFHu7lXz9/8d4539l3B1ceQ+4/qczs6OPH/iHM8eO0tPv4Y1CTE8sGwBC6JCebnoAv/OP0OLuo8oDx8+kZDJLbHpeDhJfNxwnF31J2jRdOAgKVnom8JS/wwW+CQT6hogJ1xpK6npPUZN73Ga1ZcxCLlYmbtDMH7Oyfg6x+PjFIu3UxSejuE4KiYmWx0PDEJHj7aBLm0VHZoKOvrLaOsvpkNTZjYE3o7RhLsvJ8J9FUGu81FKjvTqVFzqKOZcez4nWi7Roe3GWeHI6oAstoatJtwlhN3VxbxVmsvxhkocJAU3x6bx2LyVoIHXzmTz5vlcVFodW9KT+PrGVYT5eHHwbAnPvXOC0ppWMhJC+c5D1w+LtxsMBg7tvszL/zxATWUrN92xmMe+exMKhQKdVs9zf97D26+cICMrmq8+vp2oWMsjZnW/lqdeOsCOQ7lsWJLIE1/cOqHlK4UQ/PPt4/z73VM2hX0tQaXW8qVf/Y+ymlb+89N7B9WXHw0m7rnnhoX83/3rbdqnoKKRh3/8KtvWZvD9RzaNun1+WQOP/PQ1blyVNir3zFrC9wuJFVse/ikv/fyBEa22wSC49/svotcbePXJT4368Oj0Bu77/ovo9AZee/JTNmXQqfu13Pf9FxHAy794YEzL8T337kn++dZxfvbFreOKNdY1dfLgj14mwMeDf/7w7gmT/Vt7s/nNC/tYmhHNr76y3Wo8tamhk2888hxNDZ1svX0Rn//GFpxdHNFp9bz50jFefOYAialhfO/JOwkJGz73cTKngif+sYu2rl7uvH4Bn7ltBT6erhwuLufH7++jvqubjcnxfGn9cpKCA3ix8Bx/yj5Gh0bN2rBYPpO2lNWhMdSpmnitahdHms+jFwYW+qawIWgJy/wzcHOQvaNebRMlXR9S2v0R3dpaAHydEgl1W0yQayaBLum4OUw88WyqoTWoaFUX0KzOoUF1gQbVeQxCi6PCnWiP9SR63UygSwaSJKEXBvI7yzjUfI4DTWdR6ftJ9Iji7qjNLPfPpKK7nRcLz/Na0UU0Bj23xaXznYXrcTQoeeHkeV44eR6dQfDZ1Yv5/JplKBUSHx7J42+vH6GrV82nti/lM7etGJYpqtHoeP6v+3jr5eMsX5vMV76/Df9Aeb5n30fZ/O03H6FWafnmT2/juhstS5uFELy68xx/eu0wK+bF8Juv3TyhYm1CCP7wykFe33WBxx/ZZJOkeiia23u4//GXCPb35N8/uXfUypkD8dsX9vHWvmyeefxuFiSPHHYx4Y+vHOS/u87zwhP32zTi//Nrh3ll51le/sUDI4afRyJ841Jt9vnj5hchPjp6WYyGoxdKxdL7nxIfH8sbdVshhHj3wCWx9P6nxMEzxTZtL4QQ/3jzmFh6/1PizOVKm/cRQojK+jax6qE/isf/8sGY9jNBq9WJB3/4stjw6F9ETWP7uI4xEHtPFoql9z8lvvHUO0Ldr7XerkYnvvrQv8Sta34hci9cOeeeLpV47IF/iM0LfyR++s3XRE+3yuL+L75/Wix74Clxz3eeF3llDUIIIfq1OvGT9/eK5B//Xtz0l+fFqfJqIYQQRe3NYsuO50T0C0+K+3e/Ji401wohhOjW9oq/Fb8hth36qrj9yDfEP0reEjV9jYPaaVLlin213xIvFK0SzxetELuqvywKOt4RPZqGCV0ne4FG3ysquw+Jow0/Fy8XbxTPF60Q71bcK4o63hd6w5X716vtE+/XHhKfOfWE2Hroy+IbF34vSrrl69vc1yN+fmafSHzpNyLj1d+Lt0pyhBBCNHR2i2+8+ZFI/vHvxa1/f0lUt3UIIYTo6O4TP31mp1h6/1PiS0/+T/T09Vvs21uvHBfbVjwhblv7S3HpfIX58/bWbvF/Dz8rtq/8magobbS4rwlv78sWS+9/Sjz+lw+EwWCY0LXS6fXisV+9KVZ/+o+iuKppXMfYd1p+P1756OyY9utV9YtbvvYv8cnvPi90er1N+3T1qMT1n/+r+Mqv37Rp+47uPrH24afFE//8eMTtgLPCCqfOOKmP9OMZECn6NdZJyYTvPL1D3PCFvwmtVjfqtnq9Qdz29WfFQz962eYHrKevX1z32T+L7zy9w6btB+Lbf3xPrP/Mn0RLe8+Y9xVCiJc/PCOW3v+U2He6cFz7D0RtU4dY/5k/iUd+8uqIZC+EEM/9eY/YvPBH4uCuHPNnBoNB/Pj/XhVblvxk0OdD8c+3jplfYpVaI4QQokfdL+7/9xsi+ce/F7/6+JDo18rt7yjLE8kv/1Ysev1psbOywHxPzrXmiXuPf19sO/QV8bfi/4n2/q5BbfRoGsSBuu+J54tWiNdKbhTnmv8uujQ147ouswUafY8o6tghdlR+SjxftEK8XX63qO05NWgbnUEnPq47Jj55/Hti26GviBfK3hc6g0xAZZ2t4hMfvyyiX3hSfOvYh0Kjl9+XPXnFYsmTfxXLfvU3camm3nysHYdyxIpP/V58+sevWCX9mqoW8fBtT4s7r/uVaGm6co9am7vEXdf/Wnzurr8KtUoz4nn9571TYun9T4m392WP67oMRFtnr7jhC38TD//k1XEZEIPBIL76m7fEdZ/9s+jo6hvTvrtPFIil9z8l9p8usnmfF98/LZbe/5TIK60ffWMhxC+e3S3WPvy06FVZvh9CjEz407+22xjg5e4y6jCvX6PjRHY5G5Ym2ZQ1d6GwhtqmTj554yKbZ/T3nymiV6XhPhsSJgaisr6Ng2dLuHfLonGVN1BrtLz4wRmWZ0aPSTJmDX967TAGg+BnX7ppxMmlcydKeOP5o9x460LWbc4Y8HkpJw4V8OnHrh/0+UC8ufciz75zku1r03niC1txcXZEpzfwpf/u4HxVLb+9/Ua+c8NanBwceKM4my8feY9M/xA+2v4wN0bJC0LsaTjFj3OfwcfJkz8u/CZfSLgTH6cryWSlXTt5t/JeanpPsMDvs9wR+xYLAz6Pp6NtQ+nZCkeFO4ne29kW+TzXhf4KgYE9dV/jaMPP0Rtkzb9SUnJD6Er+sfgHbAxeyuvVu/lV/n/QGfTEevnx2qZP8ljmSt4oucQXDr6D3mDg+tQE/vfZe3F3duKRl96mrKUNgO1rM3jyy9spKG/kO0/vQG8wDOtTeKQ/P/n9vaj6+nnxmf3mz/0CPPnmT2+jvKSRZ57aOeJ5fWqbXAX2r68fobNHNeK2o8HXy40v3rWa3JJ6TlyqGPP+kiTx2D1r6FVpeOfApTHtu2FpIsH+nuw4lGvzPrdtnIezkwPvH7a4xPcwbF6RjFqj41TO8LW+bYFdE76vDYuDXC6tR63RsXL+yGWOTTh+sdxYC8Z6GeWhOHqhjBB/zzEXMtt9ogBJYtQSENZw+FwpHd0qHrhpybj2H4iq+nYOnCnm3q2LRswsbG7s5FePv0V0XCBf+OYW8+eafi3PPr0b/0BPbv3kMov71jR28PSrh1g5P5bvPbLJPO/yz6OnOVlezc9u3sT2ebLsLbulnu+f3MWa0Fhe2nQPQa6yfPNsWx5/KnqV+T5J/G7B/xHvMVg9VdDxFkcbf0aASyq3RL/CfP9P46iwbRGZqwWSJBHlsZZbol4i0/dTlHZ/xL76b2MQV8pCeDq68bXk+/hM3G0cb8nmbyVvAHKBt29mreWnSzext6aEP2YfBSDa34cXHrwThSTxjTc/MpP7usUJfPfT13PmcpU5IW8oImMCuOGWhex5/yJFebXmz5esTOSuB1fz0dvn2PdRttXzUSgkvnbferr7+nlnf85ELw9bV6fh5+3GewfHd6yEyECyksPZdbxgTPspFQo2Lk3izOUq1FZqJg2Fh6szyzOjOZ5dbtP2C5LCcXV25Fx+9Zj6ZsKkEL4kSTdKklQoSVKJJEnftfC9syRJrxu/PyVJUowtx3W2YRKnsEKuB2Jr/Zq8sgaSogOtrilpCTnF9WSlRIxZ43sur5rU2GCbVsSyhBOXKvD1dLVZMjoSdp+Ujc8doySJvfvaSfp6+/nhb+8eJK18/fmjlJc08pXvb8fRyn15+SN5EYjvP7LJrOdu71Pxr6NnuDEtkduzrmRIP3FmL74urvxl3S24KOXjqfT9/LHoVaLcQ/lB+mdwVQ7O4GxVF3K6+Y9EuK9iU/gf8XQcex7D1QSlwpmFAZ9nRdB3qe87Q3bbf4Ztc1vEddwZeT27Gk5wri3f/PmDKYu4PS6dZy6fpLqnA4AIX29+sm0j+Q3NfJhTaN52+7oMFqdF8sL7p9HpLK8C9sDnr8M3wIPf/eTdQYu5PPTFDaRmRvDC3/db3M+ExCiZZHefyB9xO1vg4KBk/aIETudWotMPH5XYglVZcZTVttLWObacjIUpEWh1egorm2zeZ35SOPUtXbR3jd6Wg4OSlJggCsobx9QvEyZM+JIkKYG/AluANOCTkiQNzUZ6BGgXQiQAfwB+PdF2Taht7sTd1cnmpQJrmzvHtKRan1pDa2fvmGRaJpTXtZEYNXa9vQlFlU2kxU/OUoMXC2tJigoa1fiUFDYQlxwyqPwBwN4Ps1myKpHla61nBh8+V8qahQkE+l5pY39hGSqtjs+uvjJKKetq41xzLZ9LX4a30xXF0ZHm87RruvhCwidwUQ5P189pfwEnhTtrgn+EQpqc5feuBiR530yMx0by2v+LRj+8TMT90VsJcPJhR+2hQZ9/Y8FatAYDO8rzzJ/dkJZIpK83H+ZeIXxJkrjj+vm0dfaRW9pgsQ8+vu586nPXUVnaZC6cB6B0ULJqQyqNdR10d40crlk+L5bSmtYJh3UAMhJC6VNrqWvqHH1jC0gyvrcVda1j2s/EE9UNHTbvY+KjWhv7GhniS11z1+gbWsBkePhLgRIhRJkQQgP8F7hlyDa3IC90DvIC5hulSVoxuaevf0wLMHT3jnF7Y011b4+xSSGFEHT2qGw2RJbQ1tU37tHBUDS0dhFpQ9mIjtYeAoashKTR6GiobSdtnvWRhskwJscMlouVNrfipFSSFnrF8BUZM0OXBw9OjivprsbdwZV0rziLbTSpcoj0WIOTcmLF4a5GxHttQSdUtGtKhn3nqHBgkV8qxT1Vgz4P9/AmysPHnKkLMrlnRYZS0jyY6JKN2demJRAtIW2+fD+ry1sGfW6SbHa0Wa9ZBHKlT4Cmtp4Rt7MFpvemzQav2RJM723HGI2PiSe6ey2X4LYET3fZuelRWa+9NHR7W7cdiskg/HBgYECpxviZxW2EEDqgE7DoMkuS9KgkSWclSTrb3NxsaZNBUEjSoCqIo26vkDBYmHwa6fgANi5iNGxfw3h2NEKpUIypryPBQalEp7c8HB/UpoNiWJ+VCnkZP43Geulgk2ZZM2ThbyelEr3BgG7AeTgq5cn1oaWIHRUO6Aw69MLyOSslJ7SGkUnjWoXpuiglyzkVar0GJ8XgMKYQArVeh6NisNhBrdWZ75EJpvs6kjbd9HyY1i8wwbxegXJkH88Ufhm69u54YJqDUI5zdGx6B5TS2Ppi2k8aQ7sm/lLY6AMLYfu2Q2F3k7ZCiH8KIRYLIRYHBo6eKOPt6UpHV9+wRaCtwcfDhbZRhpaDju/hgiRBa8fYvA5JkvD3caeprXtM+w1EkJ/HuIduQxEV4kNJ1egGNCDIi/ra9kGfKR2UxCeHcPpokVUD5OToQHSoLxcLawd9nhkegl4ITpRd8S7n+YeikCR2VxcP2na+TxL9Bi2Hm89bbCPcfSXVPUfp1FSMeh7XEgxCR17767g5BOHrnDDs+05NN6fbcpnnPbhkQHZrPU2qHhYGXvHP1FodpytqyAwbnA1+wXhfR1pr9tRhOQyUmDpY3NBQ2y6/DwEjj8xKqppRKhWE2ViueCSYqq7aurToUDQa31s/n7GN0Fs7ZcM7WhmYgTDNE4y2XseV7XvHHHEwYTIIvxYYONaPMH5mcRtJkhwAb2BswTEriAzxpV+rp95GYowK9aOspmX0DY1wcnQgItiHYhvIcigSowK5bCXmaQvS40K4XFo/aJWj8WJJehQ1TZ2UVo987ukLoqgsbeLM8cFkfOsnl1Na2MD/Xjhmdd/NK1I4c7mK/LIr57w6PppgTw/+dOAEWuMII9DVnW3RqTxfcI6Sjiv9WeSXRoJHJP8qe5t61fB+zvP7FI5KD/bXfZc+3djvx9UIg9Bzsul3tPTnscj/iyilwV68Xuj5Q9GraA067ojcaP5co9fzxJl9+Dm7sj32SsGw50+co0Ol5s6FV2S3Gq2O/358joTIAOIiLM9llRU38N9/H2HZmiRCI67MkXV19rF7xwUSUkKH1VcaCCEEh8+XMj8xDBfnsS0AZAkXCmoJ8HEnyG98IdHLpfUoFRJx4QGjbzwAJp6IDbN9zq+8phVJgohgH9u2r2uzqaqvJUwG4Z8BEiVJipUkyQm4B9gxZJsdwIPGv+8E9gsbXPJelWbUxtON6pzs4qE2xjLmJYZRVttqtsS2YEFSOOfza8yrLdmK5ZkxVDW0j0qy1rB2UQJqjY4DZ4pH33gUXL8sGWdHJS9/NHyN4IG45e5lxCYE8+sfvEVTfceV/W+az/K1ybz63GG6OizHRe/enEWgrzs/+cfH5ok3Z0cHvnvDWnLrGnny40Pmkdj3F1+Hp6MTjxx406wSUUoKvpnyKYQQPH7pL1T3DVYiuDkEsj70F/Tpmvmg6mEquw/YPLK7GtGpqWJP7Vcp7tpBpu+niPPaPOj7fr2G3+S/wJm2yzwafzvR7rLnrTXo+c6JjzjfXMtPlm4yT5wfK63kzwdOcGNaIstiZR9OCMHTrx6isr6dL9612qpS7YW/7cfR2YGvPn6z+TODwcBvf/QObS09PPbdm0Y8l2MXy6moaxt1rQtb0NWr5siFUtYsjB/XaltCCA6eLWFeYtiYyzifyqnEy93ZqmG0hLN5VSREBtpUrqVXpaGkqpm0eNtX1RuICRO+MSb/GLALyAfeEEJcliTpCUmSTHf/OcBfkqQS4OvAMOmmJbR3jz7hkhgViK+XG0cvlNnU37ULZf397hOFo2x5BesXJ9Ld129zGyZsWi6T7KsfnxvTfiYsSo0kJsyP50eQw9kKXy837ty0gI+O5nGhsMbqdi6uTvzwt3ej0+r51eNvoTe2K0kSn37sejT9Wv719G6LROvp7sITX9hKbVMnX/3N22bS35KRzKdXLOLVM9k88eF+tHo9IW6e/Ou6O2nvV3H7zpc43iAnkkS6BfOzzC/Sb9Dyfxd+xwd1hwfF9ENcs9gS+Q9clH4cbHicPXVfo0U9cSnfbIJa186Z5j+zo+oBWvuLWBn0fRYGfH7QNvld5Xz94u852nKRh2Nv4aawNQA0qXp4aO8bvFN2mW8uWMvNsbKgbm9+CV987T3iA/15Yvv1gEx8f3vjKG/uzebeLYtYtcDyZPpp46pZd9y3Av8BE/7vvHqS00eL+Nw3biAlw/riPH1qDX945SCRIT7jqjU1FK98dJZ+jW5UCbI1HM+Wjc9NYzQ+fWoNB86WsCYr3uY6PPUtXVwsqmXdItvygk7mVKA3iHGXRZ+UGL4Q4iMhRJIQIl4I8QvjZz8SQuww/q0WQnxCCJEghFgqhLCJOXv6NHR2jxxvVygkNixJ5Mj5UptmxuMjA5iXFMZrH59Do7UtVLJ8XgyhAV68+MHpMU3C+nq5cfvG+Xx45LI5X2AsUCgkvnjXasprW3n+/dNj3n8oHrl1BRFB3vzwrx/S2Gp9biE8yp+vfH87l7OrePmfB82fx8QHcddDq9m94wJ/++1HqC2MwBamRvKrr2ynpLqFz//8DSrr5azNb29ew2dWLea1s5d48Pk3qWztICswjDdvvB9PR2fu2/0aPzuzj25NP4meUfwx65ske8bw95I3+b8Lv+N8W77ZyPg5J7At6jmWBHyVNnUhH1Y/ws7qL1DatROdwXZ1xGyCEIJGVTZHG37OmxW3kd/xOrEem7gt+jUSvbeZt2tUt/L7wpf55sU/0KPt4ycZn+OOyI0IIXiv7DJb3/8355pr+c3KrTw2byVqrY5f7zrMY6+/T3JwIM8/eAderi6oNVp+8exuXvzgDLdvmMdXPrnWYp8O7srhye+/SVxSCHfcv9L8XeHlWv79572sui6V7Z+wvnCH3mDgZ//cRV1TJ997eNOEqmaCLGV++cOz3LgyZcT5BmvQ6fT8+b9HiAjyHrVC71C8ufcifWrNmBZEevnDMygUCravtZy5PhQ7j+bh7+0+al18a7C7SduBEELYlKZ863WZ9Gv1NqdCf+bWFTS2dvPWXuvZfwPhoFTw2dtXkFfWOObsvYdvXY6PpxtP/nvPuLz0dYsSuHFlCs+9c5LTueNLpzbB3dWJJ79yM33GUrAjkb5p0erX/n2EN144is6o0njwCxu45e5l7Hj9NI/e9VeqyofH0ldnxfHHb95Ga2cvD/3oFd7YfQGDEHxz0xp+e/sWippauPWZl3jm8Cmi3H15/6aHuDcpi3/nn+G6d//Bs3mncVe68/PML/LtlAfp1vbxw9y/838XnmJPwyn69RoUkgNpvndze8xbLAp4DJW+haONP+ON8ps50vATyrp306+fnAnvmYJB6GjoO8/Z5r/wbuU9fFzzBap6DxLvuZVbol9mdcgPcHXwRwhBbmcpv85/ns+e+RlHmi9wR8RGnlnyOIt90zhQW8ptO1/iq0ffJ9zdm/dveohPxGdyoLCMW595mf+cOMfdizJ56aFP4OfuxqWiOj79o1d5//BlPn3LMr790MZhoRFNv5aff+cNnvz+m0RE+/PEH+/F2ZjMePF0GU9867/4B3rytR/ebDWsojcY+MWze9h/ppgv3b1m1MVARkNXr5rv/el9fL3c+Np968d1jJc+PEt5bStfvW/9mKp31rd08Z/3TrF6QZzNGfk1jR28eyCH7WvTra4uNxBVDe0cvVjG9nXpY6rkORB2XR45KCJeLLnt27z1u4dHncj52m/f5nJZA2/8+iGbZsi/+pu3yC1t4I3fPDTqylggG58vPfkm+eWNvPLLByyu82oN+04X8f0/f8CD25fyxbtW27yfCX1qDZ/56Ws0tfXwjx/cTXzk2CaShuJSUR1f+93beLm78Ptv3EpchOXjqVUafvX4W5w4VEBsYjA//t095gm5nPMV/OK7/8NgEHz1+9tZeV3KsBe7sa2bn/9rN6dzK0mOCeKr965jUWokDZ3d/GLnQfYUlBDi5cEjqxZzZ1YGRV0t/Pr8QY43VOLv4sZ9SQu4O2E+QW5u7Gk4xXu1h6hRNeLp4MaawCxWBSwg0ycBpaQ0esAXKOn6iJq+4/TrO5BQ4u+cTKBrBoEu8o+7Q/C44rrTAY2+l5b+PJpVuTSrc2lS56A19KCQHAl2XUCc52aiPTbgqJDVHDV9jRxtucjhpvNU9tXjrnTl+pBl3B6xAXelOx9U5PNi4XlyWhsId/fiK/NWcUdcBqcqanjm8GnOVNYQ8//tnXV4XPeV/j93WJoRMzNbsiTLIFNiO3Ych6Fp0jYppwy7bbfc3S3t/krbLTMmTQMNxzHFjLLIYmaWRtJoGO/vjzszkix0ktbNRu/zzDOSPRpd3bn3fM/3Pe95T0QYX7llF9szUxidNPKrv53npdONRIfr+NL791JetNCyZLBPz/9843nqq3t538dv4r6HtyGXy3A6XfzsOwc5+EwVcQlhfOU7byczd/HgZ7M7+fdfvMLJyg4+eHc5H7in/HWdO7vDxb9871mutA3y8y/d/5qmyTV0DPPIN59gV1km3/r4bSv/gBcej8gnv/M3GjuHeezbD68qNoiiyOf+53kqm/p56rvvndesuBQ+/78vcLGuh2d+8P5lY9ab1g8/f12RGFTyHj5071bed9eWZV/b2T/Bw199lG3Fafy/Ty2dVfjQMzTJu778Z3aUpPPtT9y2qiAwNG7gXV/+M+kJEfz8y/df0/bz2789yvMn6/n3D13bWMS5v/uDX/8rHlHkfz93z6pmaC6H5u5RPvP957DanXzhvXu4eevSo93On2zh+//5HIIA//rVOym/UQru/T0TfOsLT9LdPkrxxjTe/dE9C5qzRFHk6MVWfvLEGUb1RjYXpvDwrRvZkJ/E5d5B/vf4Oar6hggPDOBtGwp5W+k6RpxGft5wgeMDnQBsj0vjrvR8bkrMpNc6wCvD57ikb8DucRCs0LIhPI+SsFzWh2YTqQ7FI7rR25oZsJxnxFKD3t6M2zsERS0PJUyVTogq1TsARRozqFXGLlC4/D0giiJWt54ZZz9GxyAzzn4Mjm6mHd1+H3+AEFUa0ZpCErTlxAeWoZRpsbntNBq6qJlupWqyiT6LpIbKC05jb8xmtkWWUKcf44WuJl7ubcHotJMREsEH8jZyS1IurzZ38NjlKzQNjxEdpOWD2zfyQFkRE1Nm/vJKFc+frMfjEbl/nzS74Ooi4vSUmUd/eYJDz9egVMr5+BduZc8Bib4Y7NPz/f94jsYrfbzt3dt46JFd/oz/anQP6vnazw/S3jfOp95xIw/uL31d59Ric/ClH7/Ehboe/uPD+7ll27XfXwOj03zom0+gUir4w9ffseIUqrn400sV/PSJs3zxfTdx167V+WYdu9TKl3/yMh9/YMeqvLIOn2/maz9/hY+8bTvvuWP52bZv2oBfVlYm7nv3f3C6upPf/vuDKw4JePTlSn7819OrHj/4hxcq+PlTZ/nsw7t4296SVR3Tq5fa+NJPXuK2nQV85QP7Vp0tOpwu/vX7z1HV1M9XH7n5NQX97kE9n/zO3zBZHHzjowfYXrJ4EW21GJ008uUfv0R9xzB7NmXz2Yd3L9kZPNiv5+uf+Ss9nWNk5sbx0X87QMH6ZFxONy88eYmn/3yeyQkTu/YXcteDW8gpmM8x2hxOnjpay19eqWLSYCEnJZq7dxexrzyX5rExfne+ipNt3YiiyOa0JG4rzKUgOZpXBlp4pquRAZMBpUxGeWwKexIzKY9NZNw5zHl9HdVTzcw4JdVVYkA0ucFpZAUlkxOUQqo2HrkAk/Z2/4jDaUcX046eq5q4BALkEQQoItDIQ9HIQ71jDoNQyrQoZAEoBA0KQY0gyL2Dy2WAB4/oQcSNW3R4B53bcHqsONxG7J4ZHG4jVvckVrcei2vCP4FL+q1yglXJhKpSCVdnEaHOJUpTgFKmY8Smp83Y63300WbsxSW6UQhyCkIy2BJRSGFwLs2TUxwf6OTEYCd6m4VAhZL9ydncl16E2yxysLGVI00dmB0OsqIieGhLCXcU5lLXNsSzx+s4VdUBgsD+8lw+cE/5ggx1csLIwWcqeeGJCswmO3tuLeLdH9lDRFQQU3oTv/3xUV59+QoqtZJ/+dqd3LiEk6rb4+GJwzX84qmzaNRKvvah/WxfohC8WozqjXzuh8/T3jvOF953E3e+hsEnfSNTfPy/n8Zmd/KLL9+/5I53MZyp7uTffvgCuzdl8c2P3bqqeNAzNMn7//NxUmLD+NVX376iy2//6BQPf+UxMpMi+fmX71+WzhFFEZlM9uYN+EdePc27v/YoMkHgj99417LNCR6PyGd+8ByXG/v49dceIC9t+VGCbo+Hz//wBc7WdvGtj93Gns2rsyD+5d/O8bvnLnHvnvV89uHdq/a6sdmdfO5/nqeisY/PPLSL+/etbpGZi7FJI5/9n+dp6x3jA3eX8947N88bPH2tcLk9PPpyJb959gKBGiWP3LuVu3YVLXpROZ0uTrxSzx9/cZyJ0Rn23Lqee9+1lYzsWCxmO3/+5QkOPVeNxWz3D7UuK8+cdxPYHS4Onm3i6WO1dPRPEKBWcsOGDPaW55KcFM6L9S28UNdM7+Q0CpmMTamJ7MxMJSo6kNrpYV4d6KBrRioEJ2iD2RyTRFlUIrFBCiZdYzTOdNBq7MXglBrl5IKMxIAYkrWxJAfGEh8QRZwmijhNJEqZHaNzgBnnACbnEGbXGFaXHpt7CrvbgN1jxOl57W3+ckGNShaEWh6ERh5OgDycQGU0OkUsQcoEgpSJqOQRjNmmGbJNMGwdp98yRp9lmD7zCGa3JFhQyZSk6xIoCM4gJSAJi13FlYlRLo320zg5ikcUCVFpuCE+nZ2xqcitci529nOqvZtpqw2dWsW+vCzuKcknGBXHLrVx5EILwxMzhOg03LqjgAf2lxJzVZPS8MAkf/ntaY4frMPlcrNxWxYf+OReUjNjMEyZOfRcNU/84Sx2m5O7HtzMve/aSvgSzVVX2gb54WMnaeoaZUdJOl98397XZBk+F5VNfXz1Zwex2V1842MHXtPi0dY7xqe/K9lE//jz9y0Y67gcztZ28cUfvUhGYiQ/+9LbViWrHNUbeeQbf8XhcvPbrz1IfPTy9I/N4eSRrz/BsH6GP3/jXcty/aIo8u3fHuUrH7z5zRvwKysrae4a4ZFvPsH67AR++Ll7ll3hpo1W3v3VR/GIIr/+6gMrFkNsdief/M4zNHQO851P37Gqi0YURX76xBn+/HIlt2zL4ysf2LcqL36QAt5Xf/Yyp6o6uX9fCZ98cOc1KxNsdif/9bujHDrfQmluIl98/97X3IjhQ9egnu/+4VWqWwZIjQ/nQ/dtZVdZ1qIZi9Vi5/HfnubZxy/isLtYV5LCQ4/cyPqNaVjMdo69VMvTfz7P2IiBzJw4dt1SyJ4D6wmLmOUpRVGksXOEF07Vc+JyOzNmO8E6DVvXp7FtfRoh0YGc6erlRGsXnV5/9oTQYDalJpIWF4ZN6aRpZpTLYwPobZJ8V6dUsS48ltywKJKCAlCp7NhEI0O2UfosI4zaJhGZvd4D5Roi1aFEqEIIUwUTogoiRKklWKFDpwggUBFAoFyJUiaiEDzIcCMTXHjNNhAAERCRgSggIsODHJdHhgs5NrcLs9uGxWVlxmnG4DRjcJqYds6gtxvQOwxMOeYXloMVWpK1sSQFxBKsCEV0BzJu8tA2PUGDfpQhi/R6lUxOcVQ8pRHxRKBlatJGZe8gDUPeBSBAww1ZqezOySAMNRV1vZyt7aJnaBK5TKCsIJlbdxRw44bMebMRnE4XF0+1cuJQPRdOt6JQyNh/Vyl3vn0ziSmRjA1P8/jvTnP0xVqcTjdlWzP58GduISl18ay4a1DPL58+x8nKDqLCtHzigZ3sK19Y77kW2OxOfv3MBR57pZKUOGkmc/prMDc8WdnOf/7yMEFaNf/7uXuuySDx6MVW/v0Xr5CVHMWPPncPIavoktVPm/nwt55EbzDz8y/dvyJj4fZ4+NrPDvJqRRvf+9e7VoxNTx2t5Xt/Ok7Fo595cwd8kIZuf/PXR7jvJimrXu6Caesd5yPffpIQnYaffP6+FVdRk8XOx/77aboGJvivT9y+KqpEFEX+8EIFv3j6HFvXp/GNjx5AF7jQ4XExuD0efvz4aR4/VE1Beizf+NgBEqJDV/Wzc3//y2ea+J/HTuJ0unjfXeW888CG1z0M+nR1Jz978iw9Q5Nkp0Txrls3smdT9qKL7IzBwrGXavnboxeYGJshIyeWfbeXsPuWIgK0Ko6+WMsrz1bR1jSEXC5jQ3km23fnUX5D7rxh506Xm0sNvRy72Mr5K90YTDbkMoGCzDg25CWRnBTGmNtKZd8gl3sHMVgl6WWENpB18dEkRodAgIjebaHbNEmbYQKra9aPPC4wiNTgMJK0wYQFytEo3QhyOw7RitVjZdo5w7TDiMFpxO5ZnY/5a4EMGcFKLaGqIMJVwWjlWlRCIDKPGodLgdEOwyYL3cYp+oxTOL02FjJBIDUojOyQSKKVQaiccqanbDQNjfuHlShlMooSY9mUkkRaSAjmCRu1rYNUNfVjtNhRyGWU5CayqyyL3Zuy5gkbXE43Vyq7OXu8iXPHmzFMWwiPDGLX/kLufddWQsMCuXy+g8PPV3PpTBuCIHDznSXc8fbNpGYsHrSau0d59OVKXq1oJUCt4p0HNvDOW8quyZZ8MVyq7+U7fzjGwJiBO29cx6ffeeM1zZcGiV79yRNneOJwDfnpMfy/T92xagsGURR5/FA1P3r8FOuzE/j+v961qvt+bNLIJ7/zDMPjBn70+XtXlFW6XG6+8evDHDrfwicf3Mk7Dyw+otaHS/W9/Mv3n6W8MJUffPbuN3/AB/jR46d47GAV77hlA594YOeyVEpDxzD/8r1nUKuU/PSL961oiWwwWvnUd5+hrXeMT73jBu7fV7KqLOSZ43V870/HiY8K5lsfu21Vw4h9OHG5nW/+5ggej8i/vOtGbt9ZcM2Zz/iUie/96TgnKztIjQ/no/dvZ+dr7DD0we3xcOhcM398sYLe4SliI4K4e/d67rxx3aIKKIfdyeEXajj8fA3tzUMolXI27chmx54CNm3PQj9u5PDz1Zw51sTo8DQyuYx1xcls3pHNpu3ZJKVG+o/X7fHQ1DnC2douLjf00dwtZaxKhZyc1GgK0mMJj9VhlbvpmZ6mYWiUrolJf94epFaTFhVGdLgWtVaOS+7BJNrRO8wMmA1M2BY28wUp1YRrAghTBxKqVqFVylArBFQKUMpFZDJpNJwgeBAFKaeXjlYEfOdZAAREUXp4RBkuNzjdYHeJWJweDHYnBoedSZsFvc3C1XeeVqEiURdMtDqIEIUGtVuO2wZT01Z6J6YZmZmllyK1gaxLiCEnKpJQmRq7wUFr1xiNncMYTNKCGB8Vwoa8RLYVp7NpXcq8rtGZaQuVFzqoONvG5fMdmGasBASq2LQ9m723F7O+LI3WhgHOvtrEqaONTOlNhIZr2XNgPXc9sJnouNAF59HlcnOyqoOnj9ZS0zpIoEbFvXuKeOjWjavKgJdD3/AUP3vqLCcut5MUG8oX3nsTZfnJK//gVWjrHePrvzpMe9/4Ne+wTVY7//27Yxy92MqNZZn850duQaNaeQFr7hrh8z96EaPZzvf+9c4V5acOp4sv/+RlTld3rqpIW9HQy7/98AUSokP45VfeTpBW838j4IuiyPf+dJynj13hwPZ8vvyBfcvSO+1943zi//0NgO//650UZCyvj7XYHHzt569wprqTW3cU8Pn37Fl2FKAPNS0DfPVnL2Mw2fjkgzu576biVQfc4YkZ/vMXr1DTOsjGgmQ++/BuUuNX79fvw9naLn7kbYEvyornQ/dupazg2m+IufB4RM7WdvHXQ9VUNfejVMi5YUMmt+8sYOO65EVrB51tIxx5oYbTRxqY1JtQKuWUbslgy84cNm7LYnrSzNnjTVw63UZ3h2SdEBkTTOnmDDZsyWBdSQqR0bM0nMlqp7Z1kJrmARo6h2nuHvV7CwVqVGQlR5GaGIYmRI1TITLlsjE8Y6RrYopx03z7jGCNmqhgLSFBGjQBCuQqAVEh4hTcOEU3Vo8Ti9uJyWXH4nJidjpweF57h7NMENAqVAQqlOiUarRyJQFyJSpBgUqUI/fI8DhFHFY3RpOdCaOFCeP8hSBQpSQ9Mpyk0BAiNQFoPHLcJhcjIzO094/7rYQFQfJvKciIpTgnkdK8xHnFV6vFTmvDINWXOqm+1EVHyzCiKBISpmXT9iy27cqjYH0yTXX9XDrTyoVTrUzpTShVCjZuzWTv7SVs2pa1wAkTpCLky2caOXi2iYlpM3GRwdx3UzF37Spc9a53KYxMzPC75y/x0ukGVEoFD922kXcdKFvVfTkXFpuD3z13kb8cqiZEp+FL79vLjtLVT71r6hrhqz99meGJGR65dysP37ZpVbW7Q+ea+fZvjxAWHMh3Pn3nigmhyWLniz9+iYqG3lWJSV691MbXfn6Q1PhwfvRv9xIRqn1zq3TmBnyQgv5vn7vIr5+5sKpVtnd4kk9/91n00yY+++493HHD8h1tHo/Ir589z++eu0ReWgxf/8gBkuNW5senZix849eHOVfbzZbCFP7tPXtWTdN4PCLPHL/CL546h9Xu5IGbS3nvnZuv+WZxuT28eKqB3z53kfEpE8U5CTx020a2FqW97iEq3YN6nnn1CocutDBjshEVpuOmzdns2ZzNuoy4BQucx+Oh6Uo/Z483cf5kC6ND0wCkZcWwYUsGpZsziI4Loa6qh+pLXdRWdGEySplpVEwIRRtSyCtKIi0zhtTMaHTeDNHlctPeP0Fb75j06Buns39inu9SgFpJQnQIMdFBaEM0yDRyXDIRi8eJyelg0mplzGhi0mzFvcz1r5TJCFApUKnkKORyFAoZcplMsouWSXYToihK1tmiiMct4nJ7cLjcOJ0erA4n9hWa7YI1aqKDdERqAwlWqQiUK1GLMnCA3eRgYtzEwJhh3jQkuVxGSmwY2SlRZCVHk50SRX56rP96cTpdDPTo6ekco61pkLrKHrraR/B4RORyGbmFiZRuzqB0SzpKlZLaii5qLnVSV92L0+EiIFBF2dYstu/JZ9O2LAK1C6/DUb2R4xVtHL3YSmPXCHKZQHlRGnfvKaK8KPV1CQlAum8fO1jFwbPScJa7dhXy3js3r6pnZi48HpEjF1r46ZNnGJs0cdvOAj754M5Vyy5tDid/fLGCP754mchQLV//yAGKc1bucrXZnfz4r6d5+tgVSnIS+PYnbl9xNkZH/zhf/snL9I9O86X37V3RV+i5E3X8v9+/SmFWPD/4zCy19H8q4Pvw18PV/PCxk+SnxfLNj9+6bLPD1IyFr/z0ZSqb+rltZwGfe/fuFbdiJyvb+dZvjmB3uvnEAzu4d0/xikFTFEWePnaFnz15BrdH5H13brkmXn3SYOGnT57h5TONhOgCePi2jdx70/pVbRvnwu5w8dyJOh57pYpRvZG0hAjedlMxt2zPu2a+82o4nC7O1nZx8GwzF+t6cLrcxEQEcUNpBttLMijJTVjQoSiKIr1d41w600rl+Q6arvTjcrlRqhTkrksgvyiJ3MJENBoVfd3jNNT2UV/dM29gRnRsCFn58WTnxZOVn0ByWiQRUUHIZDJEUWRi2kzP0CQ9Q5MMjE4zMDpN/+gUwxMzCzz6QbK9Dg0OQKdTo9GpUWkUyBQCgkKGKBPxCOBBxIUHtyjiEUXcogePiN/bxyOKCILgpXsEBATkgu8hQyEIyBCQiQKCCIIbPC4PLpsbm9WJxWTHMGNjasayYBSfTBCIDNOSGBNKUkwoCdGhpMSFkRofQWJ0iF8kYJyxMtQ/SXvzEO1NQ7Q1D9HbOeb3oFeqFOQXJVFQnExWfjwajZKuthGarvTTeKXPf46T06LYUJ7Bpu3ZFJamLBhjKYoiXQN6ztZ2caqqw+8Cm5MSzb7yXG7Zlve6VTeiKFLR0MdTR2s4W9uFUiHnth0FvPv2TavqRL36vS419PKLp87R3D1KTmo0n31o9zU1ZF2q7+U7f3yVgdFp9m/L4zMP7VrV8KTGzmH+85eH6B2e4oGbS/nEAztWFHW8cq6J//rdMXQBar75sQPLjjV1utz89IkzPH6omvKiVP7rE7fPq428aQN+bn6h2NK0tJWBjwMXgP/48C3LFlvdHg+/fuYCv3/+EplJkXztkf0rbq/Gp0x86zdHuFDXw4a8JL7w3ptWle2PThr5wZ9P+Hn1j719BztK0ldN87T0jPLTJ85S0dBLVJiWdx7YyF03Fl5zwcvlcnPkYit/PVxNa88Y2gAVN5fncueuQnJTl5esrgZGs40zNV0cv9xORX0PdqebQI2SsvxkthSmsrEgmaTY0AV/t83qoL66l+pLnTTU9tHZMuwPUAnJEaRmRpOSHkVkdDBKlYIpvYmuthHam4cZ7Jt11VYq5SQkR5CRG0dCUjjxSRHEJYYRHhlEaLgWlUqBKIpMG62M6I2M6Y3oZyxMTpuZnLEwOWNhesbClNGKwWjFZHVcsyPqtUAmCOgCVegCNYQFBxAWFEhocADhwYFEhGqJCNESGaolNjKYqFAtCoUct9uDccbKtN7EyNA0Q/16hvon6e4Yo6dj1L8rAggOCSS7IJ6MHOl8eESYmTbT3zNBb9c43e2jOL10WFxiOPnrkyjZmE7xpjSiYhYmTAaTlarmfioa+rhwpZsRrxVHXloMN5ZlsntT9utWh4GU6Lx8tpEXTjbQNzJFWFAAd+0u4v69Jdc8MU4URS7W9/D75yu40jZIXGQwH7ynnFu25a96l9s3MsXPnzzLcW+94N/evWdVZmVWm5PfPneBv7xSRWSYjq9+8GY2rkCrGs02fviXU7x0upGSnAS+9fHbll04R/VGvvijF2nsGuFte4v59DtuWLCYvGkDvjYiSfzfXz/J++7asuSHNTg2zRd/9BKtvWM8dGsZH7xn67L83rnaLr71m6NMGy08fNsm3nfX5mU9M0RR5PmT9fz4r2dwOF2880AZ77l906o8u8/WdPG/fzlF38gUxTkJfPztOyjMWn2GUd3cz6+fuUB1ywAhOg333VTM2/YWX9NwBd/f0NAxzN9evcLxijbsTjc5KdHcsi2PveU5b8gYRZvdSWVTP+dqu7hQ18PwhCQfjA7XUZqXRHF2Auuz40mNj1jwWdqsDtqbh2is7fNnqEP9k36juvDIIJLTIolPjiDKy+97PCJWi52+rnG62keZGFvom6ML0hAVG0J8YjhxiWHExocRHBpIcGggQcEBaHVqArRqAgNVKFUKBEHA7nBhstix2p3YHE6sdidOpxuHy43L5cHpciMiInqkJELmnQYmEwRkMgGVUo5SIT00KiUBaiVqtQJdgJpAjRJBEHC73FgsDqxmOxaLA+OMFeO0hRmDhfHRGYYHJhkamGJ0cIrpKfMCwz6tTkNyWiQZOXGER+hAkGieGYOFof4pBnonGOzT+38uLEJHamY06VmxFKxPJq8ocVG9vH7azJX2QerahqhuHqCtbwxRlGolGwuS2Lo+ja3r017zUJG5sDtcnLvSxaFzzZyr7cbl9lCUHc/du4q4aXP2NfnYgJTcvFrRxmMHq2jtHSM6XMfDt23izhvXrfq99NNmfvvcRZ47WY9KIeddt5bx0K0bV6wXiKLIqaoOfvjYKYYnZrjjhnV86h03rEjJnq3p4r9+d5SpGQsP3baRD96zddma5KnKDr79u6M4nG6+9sjN7NqYtejr3rQBPz4lW0za+WHKi1L54vv3LmgM8cHmcPKDP5/k+ZP1pCVE8LVHbiY/fWm/6BmzjR8+doqXzzSSnhDB5969e9ktFEgXw48eP8Wh8y3ERATx4fu2cfPW3BW5SpfLzQunGvj1sxeYNFjYVpzGe+/YfE2B/0rbIH9+6TJnarpQK+XsK8/l3puKV2wsWwwzZhuHzzfz0pkmWrpHkQkCG/KT2L0pmxs2ZFwzR7oYRFFkYGyay439VDb2Ud3cz5TX9TRYq6YgI4789Fjy02PJS49Z9HfabU662kdobRikvXmIwT49g32TzBhmueyAQBWx8WFExQQTGqFDrZaCtkKpQCYDu93J6JCBkcEphgen/NntYpDJBNQaJWqNEl2QhqDgAAJ1GrQ6NZoAFUqlHKVKgVIpRyYTkMllsxy+R0T0iLhcbpxON067C4fDhcVsx2yyYTbZMUyZsVmdOLwLyFIQBIHI6GDiEsOISwwjKFjimp1ONx6PiNvpwmCwoh8zMjY8zaR+VrmjUiuISwwn0btLyl2XSHZBAqFhC8+vze6krXecxq4RmrtGaOgc9g/RVinlrPNKYjcVpJCfHrPqPpPl4HC6qGjs4/ilNk5Vd2Ky2IkI0XLz1lxuv2Hda9LS6w1mXjzVwDPH6xjVG0mND+edt2zglu35q6ZSJ6ZN/OWVKp55tQ6Hy81dNxby/ru2rIqiaukZ5Sd/PcPlxj4ykyL57MO7Kcld2goaJObgx4+f5vCFFjKTIvnKB29e9l42mKz84M8nOHS+heyUKL7x0VuXFHa4XG6USsWbM+CXlZWJX/jv3/Cjx0+jkMv47MO7uWVb3pLUyIW6br7926Pop808uH8DH7i7fFka5GxNF9/703GGJ2a4aXM2n3zwBmIils9ealuljsHm7lEykyL5yNu2s604bUW6xmpz8sSRav7yShUGk43SvETedaCM8msoqHYP6nn8UDWHzzdjc7jIS4vhjhsL2bcl5zWpIXqGJjl0rpljFa30j0wjEwSKsuPZUZLB9pJ0UuLC3hCjMVEU6R+dpq5tiLr2QRo7R+ga0PtneUaGaslOiSYnJZqMpEjSEsJJjg1bNDObMVgY6puku2OUrvYRxoYNjI8amBgzYpiar8pRq5WER+rQBQegDVKjVitRqRTIFVKwlstls7NHvQpLURSx25yYjFKgtphs2GxOnA43TocLp9ON6JE4fY9byvBlMul95HIZSpUcpVKBSq1Aq1Oj1WkI1KrR6tTI5DLmSnBEpEKvKErFXpfTjdPuxGx2YJqxYpiyzFvgAAK1aiKigoiIDiYqJpiU9GjSs2NJSokgMiYY2VUJiCiKjOiNdA/q6RyYoL13nNbeMfqGp/znPzpcR356LIWZ8azPjicnNfqaM+ylYDBZuVjXw+nqLi7UdWO2OtAFqtlZmsHNW3Mpy0++ZudHt8fD5YY+XjjVwKmqDlxuD2X5STxwcynbitNXT90MT/GXQ1W8fKYRl8vD3i05fOCe8lXRVP2jU/zqb+c5cqGVEJ2GD9xdzj171i8/89fp4q+Hq/n985dwujw8dFsZ771jaYZBFEWOV7Tz/T+fYNpk5X13bOY9d2xacvHtGpjg33/xCo9+6+E3b8CvrKxkcGyar//qMLWtg9xYlsm/vmvXkoHZZLHzo8dP8fzJBmIjgvjkO25g98bFO0ZBynQefbmSP71UgSAIPLh/A+88sIGgZYozHo/IsUut/PLpcwyMGViXGcd779i8qsBvsTl47kQ9jx+qYmzSRFpCBG/fV8It2/JWPdrNZLFz8GwTz5+sp6N/ArVSzo7STG7ZnseWdSnXnI2JokhH/wQnLrdzqqqDDu+EroToEMqLUtlcmEppXiK6gNcnsZsLq81JS+8ozV2jtPaO0dYzRu/wJG7f8GiZQGJMKClx4aTGh5MSF05CTAgJUSFEhuoWvakdDheT40aGBiYZ7JO47im9CZPRhmnGinHGhtkkfb1clg3S7iEgUI1CIUOhlCOXy5DJZd4ALxVofa22IiKiCKJHxO32+B8upxubzYnFZFt2joJMJqAN0qDTadAGaQgKCUAXFEBwSABxiWEkJEUQnxROdFzooooZkLjgwXEDg2MG+kem6BmapHdYKmJbbLPNZFFhOnJSoslOjSI3NYaCjNg3hNLzwe3x0Nw1SkVDLxfqe2hoH8YjioQFB7KjJJ1dG7PYWJD8mhoEO/rHOXSumUPnWxifMhGi03DLtnzu3l20aimzKIpUNfXz1yM1nK3pRKmQc8u2fB66rYykmJUDfd/wFH98qYJXzjWjlMt4YH8pD926cdmEy+MRebWijV88fY6B0Wl2lmbwqXfcsOxIw56hSX7w6Aku1UtOs19+/74la45Ol5vHDlbxu+cuEKhRcfjnH/37BHxBEL4L3A44gE7gvaIoTi/yuh7ACLgB11IHczXmqnTcHg9/OVjFr5+9gEwQeP/dW3jw5tIlg1tN6wDf/9MJ2vvG2ZCXxCffsXPZQuXwxAw/feIMRy+2EhSo5uHbN3L/3pJlg7DL5eaF04386cUKhidmyEyK5KFbN3LTlpwVsxany83Ri6389VA1rb1jBOs03Lo9nztvLFx1i7coijR3j/LS6UaOXmplxmQjNCiAG8sy2bs5h+LcxNfkmz08McP52m7OXemiqqkfm8Mldb5mSNv84twECjOvffzbSrA7XPQOT9E9OEHXoN4btKboH5map2JRKeXERQYTGxlMnPcRFaYjKkxHZJiOiJBAgrWaZRff2SzehnHGimnGhslonbcwWMx23C4PLpfbH8Q9btHL4UtBXhAkGgZBKsrKFdLiIJcLKJRyVGqJIvLRRLqgAHTBGnTBAQQFSQE+UKte9lhtdieTBgtjUyYmpk2MT5oYnTQyPDHD8PgMwxMGZsz2eT8TExFESlw4KXFhpCdEkJYYQXp8xOtugLoabo+Hjr4JaloHqG7up7p5AKNFOpa8tBi2FKWyvTid/PTY1yQN7hue4tilVo5daqVzQI9cJrC5MJXbdhSwozR91TuRGbONQ+eaee5EHZ0DekKDArh7dxFv21u8KhqzuXuUP71YwYnKdlQKOXfeWMh77ti8LO0jiiLnrnTzi6fO0d43TmZSJJ94YCdbilKX/BmD0crvnr/EU8dqCVAr+eA95dx3U/GS93FlUx/f+cOr9A5PcWNZJv/2nj1Ehur+bgF/H9J8WpcgCP/P+0d+fpHX9QBloihe03DXxWSZQ2MGfvDoCc7UdJGRGMEnH7xhyRPocnt47kQdv37mAtNGKzeX5/Kh+7Yuq49v6x3j50+d4/yVbiJCtDy4v5S79xQtm9361DB/euky3YN6f+PJHTeuW1HGJYoita2DPHW01r89LcqK57adBezZlL1qqsbpcnOhrofD51s4V9uF1e4kLCiAHaUZ7CzNYOO65GuWd4K0Da3vGKaioZfLjX20dI/i9ojIZQLZKdEUZsaxLiuewsw44iKD/y5e8y63h6Fxg/QYMzAwNu0NdNJjepGpaAq5jPCQQMJDtIQFBRAaFEBYcCBBgWqCtBqCAtXoAqVCamCAikCNCo1KgUYtFVoVXo7+jTp+u8OFzeHEZpcKwWarA4vNgdnqwGi2Y7TYMJrtGExWpmasTButkpLIYJ6XofugVimIjwrxL3gJ0SEkRIcQHxVCYkzo65bfLgWj2UZj1wgN7cPUdwxR3zHs74FIiA6ReP91KWwsSF7W6HApiKJIS88Yp6s7OF3V6d9tFmXHs3dzDnu35KxatOD2eKhq6uflM42cuNyO3ekmNy2Ge3cXsW9r7or3g9vj4Wx1F08eraGyqR9tgIr7birm7TeXLLtI+BoW//RiBfUdwyRGh/DBe7ayrzx3yUXPZnfy5NEa/vTiZcxWB7ffsI4P37dtSZXS0LiBnz15lqMXW0mIDuEzD+3yj6D8hxRtBUG4G7hPFMV3LvJ/PbyGgL+uqFhsqKtd9P9OVXXwv385xeCYgU3rUvjkgzuXHGlmstj500uX+evhatxuD7ftlLS9y2n3a1sH+c2zF7jc2IcuUM09u4t4+80ly25/PR6RMzWdPP5KFTWtg2hUCvaV53LP7iJy01YevOGTp710upGeoUnUSjnbSzK4uTyX8vWpq85mbHYn5+u6efVSu5831agUbCxIZktRKluL0lb0F1oKFpuD+vZhaloGuNI2SFPXCDZvMTQsOJD89Bjy02LJTY8hOzmKqDDd333giM3uZHzaxMSUmbEpE5MGKVDqvfLLaaMUQKdmLP5jXQ3USomPV8plyOUyFN5nH6Ujk/kar6SM3+3xcvFuD263G4fTjdPl9tNUK0EulxGi0xAeHEhoUAChQYFEhAYSEaIlPCSQqFDfLka74g7mjYDZ6qCjf5yW7lGaukdp7hqhd3gKkHY26QkRFGbFU5qbSHFu4pKiipVgstq53NDHhboeLtR1MzZp8teTbvR6/6z2vUVRpLV3jMPnWzh6sZXxKRNBgWr2ledy542Fq7I+0U+befF0I8+dqGN4YoaYiCDedlMxd+8uWjYBc7rcHD7fwqMHK/2J38O3beSOG9YtyUTY7E6eO1nPn1+6zMS0mW3FaXzs/h1LDjkymm38/oVLPHmkFplM4J0HNvDu2zfNW7z+UQH/ReAJURQfXeT/uoEppJLVL0VR/NUy7/MI8AhAYHjihi9/57d8+L7ti650DqeLv71ax++eu4DJ4uDmrbm8784tS2rlx6dM/P75S7xwqgGPx8P+bfm8545NyxZpfFu5k5UdyOUy9pXn8sDNJSsOIGnrHeOpo7UcudCCzeEiOyWK23eu4+atuSt2+YmiSFPXCAfPNvHqpTamjFaCvIWu3Zuy2bQuedXB3+lyU908wOnqDs5f6WFoXFJiJMeGsbEgmbKCJDbkJr3mrb7L7aGzf4L6jiGaOkdo6h6lZ0iP77IKDQogOzmKzOQo0hIiyEiMIDU+4g2ng1YLp8vNjFnKpn0ZtsXqwGJ3YLO7sDlc2OxOHC4XDodPjunG7fHgcnlwezxSwdYjfU6CICCT4V8AFHIZCoUchVyGUiH3yzR9Ek2NWtpFaDXSriIwQEmQVkNwoAaNV2X0j4bL7WFgdJquwQm6+qXiblvfOAOj0/7XRIZqyUuPJS8thsLMuHmdvdcKp8tNQ+cwVY39XG7qo75D6sPQBqjYWJDMztIMthWnr3qHIIoi7X3jHK9o59WKNvpGplDIZZQXpbJ/Wx47SjJWlFa63B4u1vXwwql6ztZ243Z72JCXxH1717OzNHNFh97nTtTx9LFaxqfMq6J2LTYHfzt2hccOVjJltFKam8gj922lJGdxhY/Z6uBvr9by6MuVzJhtHNhewIfu27roQvi6Ar4gCMeAxTSOXxZF8Xnva74MlAH3iIu8oSAICaIoDgqCEA0cBT4hiuLpZX8xkJSeIybt/AhqpYIH9pfwzlvKFr3IDCYrf3yxgqePXcHpdLOvPIf33710tX100shjByt57ngdTpeHXRuzeHB/6bJSyf7RKR5/pZqXzzRic7gozkng7l1F7NqYtezFZLLYOXS+mRdONdDaM4ZKKWd7cToHtudTXpS6YoHV5XJT0djHsYutnK7uxGixow1QUV6Uxs4NGWwtSl22wDwXoijSPzLN+bpuLtX3Uts6gMXmRBAgMymKkpwEinMTKc5JeF3yTLPVQVvfGB1947T2SPYHPYN67HMKpdHhOtISIkiJCyc5NpTEGOkRFxH8hkgA1zAfoigyabDQ7+1CHhidpsdb1J1bIxEESIgKITM5yq+cyk6Jel3ae5vDSVPnCDWtg9S2DFDXPoTN4UIQIDc1ho0FyWxdn0ZhZtyqP3uX28OVtkHOVHdyurqTwTEDcplAaV4SezZls3tT1qrsE9r7xjl4tokjF1qYmDYTFhzIge153Hlj4bKGi77elmeP13HsUit2p5tNBcm880AZmwtTlly4x6dM/O3YFZ45fgWDycamdSm8787NS0o5LTYHTx2t5dGDlcyYbJQXpfLR+7cvmnB6PCLHL7exd0vu3y/DFwThPcCHgD2iKC60Ilz4+v8ATKIofm+l15aVlYl/e/EIP3/qHCcutxOsVfOOW8p4277iRTn1SYOFxw5W8tSxWlwuNzdtzuEdBzYsWazVT8+OdjNa7BSkx3L/vhL2bM5eUkUwY7bx/Ml6njtex8CYgWCdhv1b87jjhnVLUko+tPWO8eLpRo5caGHaaCU0KIDdG7PYszmbktzEFTX9TpebyqY+jle0c6ami6kZC3K5jPXZ8WwtSqN8fSoZiZGrzhJdLjdNXaNcbuqjxnsj+ozJEmNCKfJy8+sy40hPjHzNg5NB4kOHxg109evpHtLT7bVB6B2axGqf5ahlgkBMRBCJMaHER4UQGxFEbGQwMRFBRIXpiA7TrVrN9FaCy+1BbzD7C7qjeiMjeqmoOzg2zeCYYR6dJZcJxEWFkJ4QQWq8pIRKT4wkLT78dZ1fURQZ1Rtp7ByhvmOIuvYhWnvGcLk98xKLsvxkSvISV2VV4IPeYOZSfS/nr3RzqaGXGZMNpUJOWX4SN5ZlcsOGzFXx+30jU34foI7+CeRyGVvXp3H7jgK2Factu+hMG628cq6ZF0/V0zmgJ1CjZF95Lm/fV7LspKyGjmGeOlrDsUttuD0edpRk8PDtGynMXDzJnJqx8PSxWp4+doVpo5VtxWm8/64tixpAejwip6s7+M2zF2nvG//7+eELgrAf+AFwgyiK40u8RgvIRFE0er8+CnxdFMVDK73/3KJta88Yv37mPGdquggKVPPAzaXcf3PJoheMftrMowcree5EPRabg7L8JB7cv4Gt6xfXvFtsDl4+08iTR2ql1u7gQO68cR137ypa0sPD4xGpau7nuRN1nKrqxOmSulcP7Mhn35bcZVvCXS43F+t7eeVcM2drOrE5XISHBHLjhkxuKMtkQ17SirI1n43w6epOzl/p9he3osJ0bCpIpqwgmY0FyasajuyD0+WmpWeU2tZB6tuHqGsf9pt2qVUKclKjyUuL8WZ90aTFh7/ubFwURfQGsz/zHBwzSAFq1MDQxMw80zAfggLVEpcdqvWrckKDAgkLDvBy3wEE6zSE6ALQBahft3Hc9YAoitjsLmbMNgwmKwaT5LkzbbQyZbQwabCgnzYzPm1mwlu38Fx1LwdqlMRGBJMQE0pClFTUTYwJJSn2jdlJ+YJ7q9fIrrVnjMauESa9vQNqpZy89FiKsuIpyopnfU7CNQV4m91Jbdsglxv6uNzYR2vvGCDVisqLUtlRms7mdakr0oOiKNI9qOdkZQcnKttp65VCVVFWPPvKc9m7JWdZ+sjpcnO+tpuD55o4W9OFy+2hID2W229Yx77y3CV/v83h5MiFVv726hVaukcJ1Ki4bWcBb99XsqQks2dokr8erubg2SbsDpfUqHnn5kUXBrfHw4nL7fz++Ut09E+QHBvG++7azIHtBX+3gN8BqAGfwclFURQ/LAhCPPAbURQPCIKQDjzr/X8F8BdRFL+1mvdfTKXT3D3K75+/yKmqTrQBKu68sZC37S1etABrsth59ngdTx6tYWzSRGJMKPfvLea2nesW/ZA8HpGKhl6efvUK52q6AChfn8rtO9exvSR9ySBsMFo5dL6Zg+eaaeke9UvH9pXnsLM0c9kL0mpzcv5KN8cuScM/bA4XukA1W9dLcrYtRamr2pqOTRq5WNfDxfpeKpv6/J7oqfHhlOQmUpqbSElu4jUtAKIoMjRuoLFzhMbOEZq6RmjrHfNnikqFnLSEcLKSoshKjiIjKZL0xAgiQrRvGBdtd7gYmzIyOmFkbMrE2KSJsUmjlM1OmdBPm9EbLEt64AgC6ALUBOs06ALVBAWq0Qao0AaoCfAqcnz2B2qlArVKMWuP4HPIlMtQyGT+JiuZICBI9veSDt+rxfeIkg7f4xFxezw4vVYMLpcbu9ONw+nC4XT7lTq+Z4vNiclqx2x1YLLYMZhsGM22BYZqc/+mUF0Akd5FLyJUS3S4jqiwIKLDdMREBBEbEYQucHm557XAYnPQPaina1BPe9847X3jdPRPMOO9zmSCQHJcGPnpsRRkSF3UWclR16S3t9qcErff3E9NywCNnSM4XW4UchlFWfFsWpdC+fpUspOjV1zEXS43tW2DnKvt5nR1p78eUZgZx+5N2ezZlL1sk6XHI1LbOsCRi60cr2jDYLIRHhLI/q153Lojn8ykpXfzrT1jvHCqniMXWpgx20lPiODem9Zzy7b8JePOxfoe/nq4mkv1vaiUcvZvzeMdt2xYVKJtszs5eK6ZJw5X0zM0SWp8OO+9YzN7y3OQy2RvXmuFuOQs8cy584ue3Pa+cf74YgXHK9oQRbihLJN37N9AYdZCq16Xy83xy+08eaSG+o5hAjUq9m/N5a5dRUtW7YcnZnj2eB0HzzYyPmUmLCiAvV5XwLxlFDed/RO8cq6JoxdbGdEbUasUlBelsqssi+0l6csWumwOJxUNfZyq6uBcbTdTMxZkgsC6rDi2FqWxpTCFnNSYFS92j0cqYlU09lLdLKlp5krn1mcnSHRNVhxpCRHXZGXr9njoH5n2N0u190s3/+ScjtBgrZrUhAhS48JJjgvz8vRhxEcFv2EdnHMhiiJmm0PKgGesGMw2Zkw2DEYrM165o9FsY8YsBVWzN7habA5sdue82sI/CnK5jEC1UirgBqj8i5AuQEWwTkOwVkOQVk2ILoBgrUZy9/RKS4N1mtdtP7wYPB6R8WkT/SNT9A1P0Ts85W/e8nkjAWhUCjKSIslMivI3cWUmRl2zud/4lEmSdrYPc6V1kJZeyeVTLhPISY2mJDeRTQUprM9OWNV7j+qNXKrv4XxdDxUNvZitDj/ls6Mkg50bMpZNeNweD1daBzlxuZ0TlR2MT5nQqBTsKM3glm15bC5MXZLWHJ8yceRCC6+ca6a9bxyVUpodcc/uIkpyExeNFz5V3vMn6+kfmSYyVMu9e9Zz166iRRmCsUkjTx+7wrMn6pgx2chNi+FdB8rYvSlr3vXwpg34QVHJYv7+T7N1fRpv31eyaDFkVG/kqaM1PHdC4uHz0mIkHn5T9qLF1MbOYZ46Wus3EctNi+G2HQXsK89ZNJN2uT1crO/hpdONnK3pwulykxwbxr7yHPaV5y5Z2PF4ROo7hjhyoYWTlR1MTJv9F9/ODZnsKElf9uLzeCSlzlmvGVlLtzQsJESnYWNBChsLkijLTyYhOmTFLM7l9tDeO0ZN6yBX2ga50jbkp0oCNSpJSpkeS25aDHmpMcRFXbueXm8w0z2ol7LAASkT7B2emkfJCALERgSTFBvm1YwHe3l6SUseFhx4XegXt8eDze7C6XJjd7qwO1ySvNIlSSvdHm/W7vbg9ngbr8Q5jVfMabySz3rmK5WzuwSVUto5+HYRr2cU5euByWpndMLIsJffHxo3+Dn+/pGpeYufRqWQmrfiw8hIjCQtXmrgSogOueYFZ8Zso7VnjJbuUZq7R2noHGbU677po37WZydQnJPA+uyEVam4jGYb1S0DVDb1U9HQS8+QNO4xKkxLeVEa24vT2bguedmeBJvdyeXGPk5Xd/rrYmqlnM2Fqdy0JYedJRlLLjYzZhsnKzs4cqGFqqZ+PKJIfnoMB7bnc/PWvEXpK188efl0I6erO3G5PazPTuCe3UWL1g5FUaSufUiKWZfbET0iOzdk8MDNpRTnJCy4T/tHp0iODX9zBvyS0lLxY1/9KX979QqTBgup8eHcd1MxB7Yv3BpZbU5ePtvIU0dr6RmaJDQogFu2ScXUxYopvs67F0410N43jlIhZ3tJOrdsy2Pr+rRFb0ij2cbxy+0cPt9CdUs/ogiZSZH+LeJS7d0ej1TRP1EpWRf4TKpy02LYtl4qtuanxy57E+kNZi439HGxvofLjX1MTEu+MbERQZR46ZrinASSY1f2v/GZmzV0DFPfPkxD5zAd/RN+i+JgncavzshOjiYrOYqUuLDXxPnOmG30Dkse9f0jkkf94KiBwXHDgoYplVLupSSCiY0IIip8lrKIDNERHiJp0l/vXNT/i3C53H7LZ/201IMwMS3RXrNFXCMmy/yOXLVK4ef3k2LDSPKqpVLiwokKW9zCYjmIosjYlEmifby+PW29Y/5rHiAuMpiCjDgKs+JYlxFHTmr0qhbAaaOVK62D1LYNUt0yQFvPGB5RRK1SUJyTwOZ1KWwpTCU9MWLZe2Bo3MCFKz2cv9LN5aY+7A6XX/m2e2MW5etTl1wkDCYrp6s7OV7RTkVDLy63h8SYUPaV57B/a96iCaBPNnrwbBOHL7QwabAQFhTA/m15S3bWG0xWDp9v8ccnXaCa23YUcP++4gWNoz4q+smjNVJB+89v8iHmTpebY5daefJIDU1do2gDVNy6PZ/79hYvOMGiKFLZ1M/fXr3CGe8KWpARy2071y1pMtbaM8bLZxs5cqGVqRkLwToNuzdmcXN5LsU5iYte9ONTJl6taOPVijbq2oYAiS+/YUMmN2zIIC9t8VZyXwHpdHUX52q7aOiQvEZCdBo2F6awaZ30WK7RRBRFeoenqGzqo7Kpn9qWAb8bZVhwIIWZcV7KJp7ctOhVddg6nC46+ydo9mZhbb1jdA5M+IeH+Pj6zKQov6ojLeG1ZXs+mKx2hsdnGNVLNgEjEzOSb/2kpDCZmDIvKESCNNEqPCSQ8OBAwoKlYm2wVjOHCtGgC1ATpFWjC1D7KRO16vro3K8FTpfb3xtgstoxWuyYvI8Zk22WrjJJnbhTM1YmDWZ/zeZqBOs0xEYEERMRTEy4jtjIYGIjgomNDCIuMvg111tEUWRyxkK31wLDx+/P5fVBUnvlpESTkxpNbmoMuanRq+r58HhEeocnqe8Y9goIhvwZvEoppyA9lg350i63ICN2WarQYnNQ0zJAhTdh8r1PfFQI24rT2FmaQUlu4pKLzuikkdNVHZyq6qS6ZQC320NcZDC7N2Vx0+acJSnewbFpjlxo5fCFFroH9SjkMrYVp3Hr9gK2Fi9MKt0eD5cb+3jpdCOnqjpwON3kpEZz164ibtmatyDRMVnsvHymkaePXaFvZIrwkEDu2V3EI/due3MG/NING8Tqqqp5/+aTN71a0Y7T5aY0L5Hbd65j98asBXKyqRkLB8828dLpRroG9aiUcnaUSHzcYhp4l8vNxYZeDp9v5nSVpJ6JCtOxe1MWezZlU5gZv2gQH5s0crKyg1NVHdS0DOD2iESGatlWnMa24nQ2Fiy9rTQYrVxq6OVCXQ8X63v8XHhKXBhl+clsyEuiJDdxWdWPKIr0jUxR2zooKWw6hugfmQYki4Gs5CgKMmIpyIgjLy2G5LiwVQVpl8tNz/AkHX0TUsbWP07XwATjc1wpVUo5STGhpMZHkBw3myEmxoQSHhz4uoepTxut/mx10mBhcsaMftrC1Iz08HXSGky2FYeXyGUCARoVAWqlZKkwx05htlirQK2Uz2ugknsLtnL5nIIt0rN0+0j3kK9Y6/ZIlskut9tLDUnFW4fT5S/eSk1eUuHWYnNisTmw2Jwr/g0yQfBz++Eh3gUvKMDfjRseIg1TiQyV1Euvt2ZitjoYHJtmYGzav0uTJovp5/n3BGpUUgE/ebaAn5UctWrDPf20mebuUZq6RmjsHKaxc8TvyROs03iTmARKchPIS4tZ9u+yO1w0dA5T3dxPVVM/9R3DuNwe1Eo5xbmJlBemsrU4bcndsMcj0twt0annarr96qDU+HCp+XFj1pKd80PjBm8DWCtNXRINuz47gX3lOezdnLPoYtfeN84r56RegPEpM8E6DTeX53LHDesW6O1FUeRK2xAvnGrgeEUbVruTwsw47rup2E8Jvak5/K9+9/fcs6doQeFWbzDzwskGXjrdwMCYAW2Aips253Bgez7rs+PnfRg+k7FXzjZx5GLrPA38vq25rM9KWBDIrTYnp2s6OXaxlYv1PTicbqLCtOwslfS+pXmLZwQGk5Vztd2cqe7k0pzCUXFOApsLUygvWlorL4oinQMTVDT0UdHQy5W2Qb+PSmp8uJ/jLM5OWJFnnzRYqO8YoqFDomxaukf97xWoUZLtlVZmJUeRnRJFWnzEqgdDmyx2Kasb0tMzOOkPAEPjM/My8kCNkkTveD6f58vcDDPoDVSRiKKI3eHCYLJhssxmxmarHZPFgdnmK9R6g6vVIXXVOpzYvcHX4fWztzvduL3B2unymqZdw30iCCCTyVBe1XXrs2pQKaXOW41agUalkDpuNSoCNUq0c3Yk2gAVOq/njy5ATYhOg/YNlpnaHS5GJ43S7mpihmH9DCMTRgbHDAyMTqM3zLecDgsOJDUujNSECNLiw0mNjyAtIXzVFhoej6T8au8bp61vjPa+CVq6Rxmfknz9ZYJARlIk+emxrMuMY312/Io0pclip659iFpvjaqpawSH041MEMhOjWZjvuTvsz47Yclr3Kfxv1Tfw6X6XqaMVmSCQGFWPNtL0thZmrkoZevbsZ+q6uRUVQfN3lpbbloMezZlsW9L7qLS7qExA0cutnLkQrNkCuftBbhlWx47Shaawg1PzHDoXDMHzzbRNzJFoEbJTZtzuGfP+gVe+m/agB+fkiVm7Pk4Dqebwsw47rixkJs2Z8/Lln3yqRdPSwZJVruT+KgQbt6ay/6teQs+JJfXZOzQ+RbO1HRid7iIDtexe6PUnbdYFm+y2jnnHeV3sa7HL53cUpjK9pI0yovSFtXxzpWGXarvoXNAUq9GhmolnXx+MhvXJS9J37hcblp6xvwytfqOYT8HGxWmpSgrgcKseNZlxpKTsryHudvjoXd4SvJF6RqhuXuUjr5xv8RSLhNIiQsnM1lSX6QnRJCWEEF8VMiqA4zT5WZ4YmbOTNlpKTscnWZkYmaBGsanE48KlxqqosODJM4+REt4aCARwVLW+s/QaOXzzPF4Zgu2IiKCN9OXZtpK6pt/BtrI5fYw7dPrG6RdkcTpGxn3yltH9MYFfQ7+WbrRoV7dfhiJMSEkxYSREBNyTRbZU17Kp3twUvLi90o5LTaH/3clx4WRmxrtt23ITo5etkbjm63QMIfq6RyYQBSlc5+bEs36nAQ25CWxPjt+yS50i81BbesglxsljX97n6TNDwsKYHNhClvXp7GlMHXRjNzpclPbOsjZmi7O1nb5JZ8FGbHs8nr/LGbQODRu4MTldo5fbqehYxhYvhdgxmzjeEUbh841U9M6CEBpbiK37pCMFeeeJ49HpLqlnxdONvCNj9365gz4ZWVl4qsnzvCy1/u9Z2iSQI2SXWVZHNieT2le0rxgZLE5OFnZwaHzzVxu6MMjimQlR7GvPIebNucs0OpbbA7OVHdy9GIrF+t7cbpms/idGzIWbYCyOZxc9kknr3QzaZCkkwUZsWwpSmVLYSp56TGLUiajk0ZvFtFLVVOfn3dPjAllQ14SG/KWN6Fyezx0DeipbR2krn2Q+vZhv1xOqZCT7aVu8tJjyU2NJiU+fFnqxu3xMDg6m2119E3Q3j/uV0+AVNSThmdL2VxqXLi/uHctxVMf5+vj6X2doCMTM4xPmRifMjExbWaxyzFQoyIidJa+CA2SzMVmeXu1V2MvuWBqAyWJ4+vpDP5ngSiKfp2+yTy7c5H8gGzexiyb12HT4qfApk3WRc9lUKCa6HBpcY0O13l3W1Inc1xEMNHhumsqzrvcHkYmZugfnaJnaIqeIb1/mPzcorw2QEVmUhRZyZHeXWU06QkRyy7moigyPmWixVtXauoaobFrxF8j0AaoKMyMozAznuKcBAoy4pa8Jn2mf9UtkoVzY9cIbrcHpULu1fhLxoJLafyHxg1c9O4AKhr6sNgcqJRyNuQlsbM0gx2lCyWfvsHvp6o6OFXd6Vfa5aREs2dzNnu3LB+TLtT14HJ7SI0P5+byXPZvy1vw+v7RKV4528yh880MjhnQBao5/quPv3kDvq/xyidPeuFUAycut2O2OogO13HTZkkemZsaPS+z0k+bOXqplaMXW/2raUFGrJTJb8xa4Ba5WBYvVe5T2Vacztb1C7N4j0ekpWeUc7VdnL/STXP3KKIocY4b833drkkkRi8c5O3xSENHqpr6qGoZoKZlwJ+9x0eFUJKTQFG21KG42BxYH8anTDR0DPt5z7nulRqVwn9zZad4b7LEiBWLuEazbV4hzncDz9Vig9TVmxQbSmJ0qJe6CfFb9oYGBVxzpuvLSvXTUlbq4+31BjOTBjNTM5Lj5ZTRyozZ5lcVLYWAeRp3iTYJUCtRq5QEqCV5pMTdK1Ap5JKMcm7DlWyOQ6Z3Zq3M633vy+hFpGsT77PbuwNwe2WcLpfb76DpdLm9zViS9NPudEvP3tm5NodLMnLzmrr5HivRSbpANaFBAX6XzfCQQCJDtYR7d0j+XdNr3C1ZbU6GJ6TO5+Fxwzw/nsExw7wGsWCdRirox4dLMk7vTjE6fHnKx+ORlGPtvVLy0dozRlvvuJ9SkgkCqfHhrPNafRRkxC7bQ6KfNlPfMcSVtiFJ498za+udlx5LaW4iZfnJrM+OX/SczJhtVDf3+3cAPpfQmIggyr0e/2X5yQsWGKfLTU3LAGdruzhb0+VXJxVkxEqD3zdmL+iyNVsdnKuVYs/5K91+1mGp2DYxbeLYpTZ/bBMEKMtP5sD2fHZvyiJArXpzBvyw2FTxuz97nAPb8+cFaJvDyZnqLg6fb/avgokxody0OZs9m3LISp7PkQ+NGTh6qZXjl9tnV9nUaL+i5mpO3eZwUtnY72+A0hvMCAIUZMRRXpRKeVEquWkLs/hpo5WKhl4u1vVQ0djn5yVjI4Kk4mteIhtykxbl390eD+1949S0DFLbOkBt66A/QwoKVLMuc3YObH567JJF3LnUTbNXbdPWO75gG52VHCVpqxPCSU+IJD46ZMWM2Gpz0j86Rf/INH0jU/SNTPmpm6upgQC1kvioYOIiQ4iNDJr1wgl/YzxxfJmvL9M1WuZkwFYffz/bZGW2OjB7G618Xa52pxuHw4Xd6Vo0G/57QqWU+7X5vm5fjVpJoFry59dqvAuVl7/XBaoICvR2C3t3NCFaDTqt+nU1Yc314JGoHqOX7vHq9BextwhQK/02DcmxYSTFhpHsfYQFL7/Q+0zcunw9G4N6OrxUj89TSS4TSEuIICs5SuoNWYHqsTmctPWM09Q9QlPnCPUdw35XWJVSTn56LMU5CZTkJlKUFb+ogMJksVPbOujfAbR6JZ8alYKS3EQ2F0r3/WJjP4cnZrjotXa+3NiHxeZEpZRTlp/snUeRvsBWfdJg4WxNJ6eqOqlo7MXhdBMRomXXxkz2bsmlKGs+tTxpsHDicjvHKlqpaRlAFCE7JYp9W3LZtzV3HivwpuXwoxMzxPTdH0MUpQEI+8vz2LM5e16mbTBZOVnZwbFLbVQ19eH2iCTGhLKrLJNdG7PIT4+d9wENjk1zvELSwzd0DiOKUka9vTiNbSXplOYmzuPCPR6R1p5RznknQPmyeKkBKtk/7OHqrZZPOVPR0EdlU9+8AB4TEUSxrwCbk7BoBu/jKuvbpSyloWOI7sFJf7YXFxlMXloMeekx5KbGkJMavaQFw4JCWa/UHTsyh7pRKeUkx4aR7rUv9t3ASbGrG6bhk1gOT8z4h5XMHVJytf4bpGwwOkzn1dlLevvwEC3hwQHzvHHCggP/ro1K/pmyLg9Ot1S4dfnGFLo9s41XPv7eO9LQ13nla76SirWz9guKOR76KoUchUKOUiFDIZf/XRvMPB6RGfN8750pg7Q78u2c9NPS7AD99ELpq1IhJyYiyL9bi48KJi4qhPhIqVEuPGRl9ZXL5WZoYkbq2h2Zpnd4kq4ByThvrmxTF6gmMymS7OQosrwigvSEpQUEDqeLzgG9P6Fp6R6lY2C2hyQqTEdBhte/Jzt+ydqWftpMbZukarvSOkh73zgeUUSpkLMuI5bSvCQ2rktmXUbcgmvPZLFT3TLA5YZeKhr7/DLPmIggtq5P82b/SfMSGp8g42xNN+dqu6jvGEIUpft4R2kGezZlLwjyo5NGTlV2cOJyO7Wtg3hEkdT4cPZskuigufp9p8vNpfpeDl9o5psfu+3NGfDLysrElw4d59D5Zg6fb6FrUBpxVlaQzJ5N2dy4IXNeUWVqxuI3SKps6sft9hAVpmNnacainLx+2syZGsletbKxD7vTTYBaSVlBMlu8ipqriy/TXhnlxboeLjf2+iWKvmk/JbmJbMhLWuDT4fGI9AzpqWoe8GfwvuapYK2add4B0usy48hLi12009Bic9DaO0Zjh1R0be4eWdDQkpsWQ2ZSJJlJkWQkRZIQFbpkcDFbHf4bsWtwgu5BicZZSN1ovby9xN3HR4UQ7+2UXe0gDrPV4efqx+d44khBR+Lv9QbLkjSNNkBFWFAAIT5zNO/UqiCtxqtiUfkVLj6f+UC1isAAicZRKeX/FMXU1cDl9mC1ObDYnX6Kx2KTvjbbHH5d/lw+32C0Mm2yMT1jwWCyLUkDhQYFzDazheqIiZj14JF2YLpV03F2h4vhCcmNc8jbtds3PEX/6BQDY4Z5n2WwVk1agm9HGSE5cyaEL9sHMG20Stn/wAQdfeO09Y7TOTDhp5CCtWpy06Rir8+/Z7HudZdbqn01dHoLvW2DDHjvG7VKQWFmHMU5CZTmJVGQEbuA8jRbHdS1D1LdPEB1ywDNXSO4PVLDV0lOAlsKU9lSlEpqfPi8v8VksXO5sc8vufbVxnJSo9lRks4NGzLJSo7y/4yP8z9dPV/xk54Qwa6NUjF4Lhvhcrm53NTHq5faOFXdyYzJRrBOw7FffOzNGfDXF5eKV2qrgdlB20cutPBqRds8/2sfNTPXs3vGbONsTRenqjr8nHygRsXmwhS2FaexdX3aPM93m8NJVVM/52q7OX+l2x/0kmJD2VQgZfEb8pPmtUuLokjP0KQ0/s/bAGW8ioeXsvhEkmLn8/iiKDI4ZuCKN8uY21giEwTSEyMoyIiVmlW8QXyxTMVgstLWK00laukZpaVnjMGxaT9FEahRkp4YSUaitAikee1wI0OXvtFsdif9oxJt0z8y5Z8r2zcytaDBRxeolsbrRYX4i3/R4TpiwiUaJzxYu+psVhRFjBa7V2M/y9dPe58NRqv/ecYsyS9NVvuq6Bi5XOalThSoVcpZ/b2XVvEZpikU8gUTriRDKnzGVPPsFHxDzEFa1D2eWTWP2zO7S5jl8N24XB7JwsFr42B3uOaZqTlW6e2jUSn84xpDvYthiE4zW9z2PocFS01qITrNNRVkTRY7o3qjv1N3dNLImN7oH5buoyx9UCvlUmLgLer7PJSS48II0S2dGJitDn+xt3Nggs7+CTr6J/wJEUjqmayUaHJTo8lNkxq44qMW2or4ushbumdtHJq6Rvx0UVhQgLc2Jt2buanRC86JwWjlSvuQNNVtLv8vl5GfFkNZfjKb1iWzLjNu3j3pcrlp6BzhcmMvlxv7aegYwu0RCdSo2FiQxPbidLYWp82jd+wOF9UtUtw5W9PljzsFGbHsLM1k18bMec2lNruTS/W9nKzq4GxNJzNmO4EaFTtK0tlXnsvmwhRUSsWbM+BrI5LEBz75HXZvzGJX2WyhVRRF2nrHebWijZOV7f6CSn56DDtKpIp5ZtLsSujj5CUr4S5/Vu4bslxelEpBRpyfw/YNCrlQJ/lu17TMDgrJSY1hQ56Uxa/PSZgnU3N7pOlPc7P46TkdsOu9RdiltpoGk5WmrhG/3UFz96h/+6uQy8hIipQu+NQYslOiyUyKXJQHt9qcdA1KN40/Q7qqA1IXqPaqbyJIjQ8jJTacpLgwEqNDlpV3mix2P2UjWRnPfj2qXyi9VMhlfv4+MlTKIOc1CXm/Dg0KeE1ctMcjYrbasdicfs29xSZlwhabA6tNamyy2qUs2c/hewOtwzn77NPdO70TrnzB2leE9QVzFpFl4pNleikdQRD8hV+5TPAuJjKUcmlh8TV6qZQKib/3LkCBGiUBGhWBaiUB3uaweZz+nJ3Ma6G5RFHEbHXMKYbPPs8dkj6iN/rrPj74JJvxUdICHz9njm58VAgRIUsv7h6PyNikUUokhr1qHu/z2OTswqFSykmLj/Cas0kS4czkyEUH8rg90qQuX8LT2isFeV/SpVTIyUyKlAq9GVKx92rvqaup07r2IboH9f5j8fH/pblJFGXFz6sjuD0eWnvGqGrqp6q53983IwhSbNlYILEEVw926R+d4mKdxBJUNvVhc7hQqxRsKkhmW3E6O67i/PUG87zeHrvDRbBWzfYSqQnMG+QBafHUBarfnAE/LTNP3PHgl2ntkTrdslOiuKFU8oyfG9Clxgdp6HFj1wggFUq3eVfUsrxZPs3na3G2posL9T00tEvWBrpANRvyEiVrg4KUeRm5y+WmsWuEy14+vsFr2+pz9SvOkbxs1mfHz+PRfTuAWq//R13b0LxiUm5qjJfCkczLFrsYh8dnaO6RuEpfFu/rcJQJAinx4WQnR5GeKFkTZyRGEBe5UDvvK5Z1D3oHkHgbpnqHJ+dlUjJBIDYyWPJN9ypvpJs6lPjo4GV12KIoMmOyzcsIffJLX1FwfMq0qDulTBCkTDTEl51KPH7IPMsEr/RSq/Z/vdpmsf+LcLk9mC12Ziw2TGY7M95h6DNmyYZhxjzHR39mdij6YudfLhMID9ESFSZRPX47hogg/24tIlS7bGHf6XIzop/xJgEzDI7O6dAdnfYP1wFp55kSF+5POvx9H0uIBwxGq5T9D0jF3vZ+yavHl7n7grvPwiEvPYaMxMgFi6LBaPVn/U1dUoHXl5TpAtV+emd9TgL5abHzri+ny01L9yg1rQPUtAzOc6FNjQ9nQ17SokyAwWSlsklS/FQ09Ppp2MSYULYUprCtOJ3SvEQ/leTxSHN5z1+R+P6mrhFEUZoSt6Mkg10bsyjJSfAvIpMGC2dqOjlZ2cHlxj7O/eHTb86A75NlDo5Nc7Kyg5NVHdS3zxY7tpeks6MkY17X68S0yb89utzYh9UuVcxLcxPZUpTG5sIU0uZwbTNmG5cb+7hU30tFQ69/SxUbEcSG/GTK8pPYkJ80rwpuczhpaB+mslmicXwLAEBGYgTFOYn+oQ9XK3Impk3Utw9T1z5EffsQrb1j/i18sFbtL8DmpMaQmxa9QNIpiiLDEzN+Y6rWnjE6+ucXYOfSONIYwTBS48KJiQxaNIs2Wex+yqbXa4vra5gyXlVsDdFp/BldfJSXwgmTaJzoiCDCgpZ3vJyXYc547RLmSC8nvVSOj8bx3VBLQaWUow1QS1r8ADXaQLWUJau91glqxZyuVonLv1qKqVJ46Zy5dgrzKB1Bml0rrCTL9NI64myRd5bScS8oDPs6ex0u97zdhm+urs3uxGJ3encp0q7FPIe793VOLwW1SkGw1jsUPThAsmDwSjTn7rLCg7WEBK1suWyy2hnTG2frL5Mmv1RzaNzA2KRpXu1AqZBLap5oaehKsnecZXJs2JKdudNGKz1Dk/QNT9I9NEnXwEJ6JyhQTXpiJDkpUeSkxkiF3sSIxYN7z6jfpbP1KhO3lLgw1mXGU5QlafnTEuaLJ4xmGw2d0r16pXWIhs5h/6I1d87EhrwkIkJndyAWm4O6tiG/11VLjyT0CNSo2JCfxGav5j8pJsz/M1MzFioa+7hU18MFr8WKIEB+WizbStLZUZLu5/t9XP+Zmi7O1nT6xSdxkcHcWJbJv7xr15sz4MclZ4l/eOJFtq1P85ue6Q1mztZ0caa6k4pGyekuUKNk0zqpO668KNXP5TucLmpbpU7XuaZJ0eE6NnvVNWX5yf4Py8f/VdRLmXxVc7+fs06MCfUPESnOSSAucjaQ2x0umrpGJM6vbZC69mH/djgiREth1qykMi8tZp6Bm8vlpnNAT3P3CE1dUgbf2T9bmNIFqv3mU74tbmp8+ILM1mS10z2o9/OfPi50LueuVilIjg3zZ1ZJsaH+QmzwEhyrwWRlyJuxDY1LLpc+SmdkwrjA+0WllBMdLmWFUWFScTAqVEd4qJaI4FkaZ6nfdzVcbo/fOMzH2/uejRb7rCTT97A6pIKnN0j6qJs3G3y0j8/zx9dToAtUow1QewvWan/heu5zsE7aBa3GNA8kCvBqemfCYGJiSlL0SGZ2C502BUHqGo/zJgAJvmcvzRMZpl10EbE5nAyNGbzuqdP0jUzSMyR5789t1vLRO+mJERK14x2wc/Vi4VOhdfZP0DEw4Z++NVd8kBAdQk5KNHnpMeSnSVbgi92Hvsy/oWOYLi+147NoWJ8d77U2me9t5bN2qPH20zR1j+J2e1DIZRRmxlHm7agvSI/1Z+U2h5O6tiEp62/so7Vntodn87rZTl/f77HanFQ193P+yvwaY15aDNtL0tlZmumXo//dZJne+bQfBHzjDb8kiuLBRV63H/hfQI40Ceu/V/P+IdEpYu7Nn0Ihl1GSm8i24nS2l6T5V0ab3UllUz9nvY1Pvip4RmIEmwulrtfinFn/jOGJGb9XRmVTn58ayUiMoDQvidK8REpyEv1zMaXmqHGqmvqp9n6Yvow3OlxHSU6iZPGaGU9WUqT/w5S4fD0NHUNcaR+ioX3IrwoAKbPIS4vxKwxyUuZrjJ0uN50DE/7MpKVnlI7+WedKuUwgKVbyKM9IiiQjMYL0hEgSYhY6V/oypt5hSYHjG2oxNG6YV+wM1qpJigmTGqhiQoiLlGR4cVHBxIQHLVrs83hEpo1WaSKV1+VyeEJyvxzVG73KG/OiRUilQk6EN/j76BtJhaOZ53wZrA0gWCsFsQC18jU7O9qdLux2qVDq8DY8+TNspwunWyqm+oqrEocvGaB5RBDnZO4+ReZ8WaaU9fuas67m8H07B5+vzuzOQvLT8fH5vmaw19ol7HS5/a6aRq+z5ozfYdPGtMnql2tOGiS7hau5epil2CJDtUR5p2jFRQYTPYfiiQzVLlpH8HVVz8pyDX5vnv7R6Xmd3CAVUlPiw+fUlMIX3ZHO1fB3DUhJTUf/BN2Dev9uRxAgITrUK3aI9u+Y51Isbo+H3qFJWnrGaPbajLT1jvmprmCtmoKMOP8uPT8j1i9N9tGs9Z3DNHh5f5+kUy6XUZAe61fqzeX8fUmhzyalrn0Ih9ONXC5jXUYcWwpT2FKUSk5qNHKZzC/jvFgndffWtg3i8KoIN61Llvz+58zUMJptXKzv5WxtF1//yIG/a8BfdiC5IAhyoA3YCwwAl4EHRVFsWun9y8rKxN/95QVOV3dwtrbbX0xJjg3zF1tLcxPRqJX+bc75um4u1fdS2zqI0+VGrZSzPieRTQXSKutrnXZ7PLT1jvsr6nVtg/4O1bSECO8ghniKcxKJ85ofeTzShyC5UkrZvK8ArFYpyE2N8bpSxrIuI46YiCB/gDKYvNxhp09SOd8wKjU+nNy0GL/bYGZS5LyBzL4Clc/+oNObxc/doqqUclLjw/0ZfHJsGCnxklLiai293eFiaHz2Juyf00Q1op+ZtxjIZQLR4UEkREu6bMn7Jsjfoh8TsbQRmk95o582z3q1Gyzop03ovQHHZwkwbbQuq1BRyGWzfL7XVGxWijmbCWv8jUwSjaNWSUHVR+X4CqZqpTSI5B8t2fTp/h1OSbVjd/gWollKx+7wuWnOUjxWr0zTanf66R3frsYX1OcOhL8aMkGQJmcFBxKq0xAe4pNnemme0LlF9MAlFx2bwyn57PvpHRPj3kXfV8C3XbWrCtFpSIoN89eGkr1KnoSY0AWDQlxuj1/i2TM0KTX5DU/SNaift2MN0Wmk4m5iJJneeyY9IXJe8mRzOOke0NPeL3n5SB28Y/7zFKhRejP/2EVraSarneauURo7h2nolJw8fY62GpWCgow4SnITKMlJnGftYLLapUJw6xC1rZKVg8Pp9g9y3+idOV2ck+C/N0cnjVR6M/7LDX3+LmNfAlteJCWwKqXCP9XuQl0PF+u6qWuXFEEhOg1H/16yzFUG/HLgP0RRvNn7/RcBRFH8r5Xe/+qZtkNjBs5d6eJcbTfVzf3YnW72bsnhmx+7dcHPWm1Oqlv6udTQS2Vjn9+47PPvvYl7dhcteL2vIONT2NS1D/n548f/+92kLzKkwDfE2cfzNXWOzOPkf/O1ByjMWnwqPUh8fkv3GM3dI94mkrF57oSPfushspKXnp0JEl/YMyRp6TsHJvxZ/PDEbAYvCHDiV59YtfeN0+X2Z+tD4zNeSkeic0b1M4t63nzwnnI+cHf5qt5/KfgdL+d4vvvGExp8mar3a7O/o1bqovWpcF4rFHIZH3/7Dh68ZcPr+huWw9C4gQc+/wccLvdr7uxVK+XSwqZRoQtU+esW0m5I7R2HGECQd1fkG48YrH1jnDa7BvU8+IU/Lvj3YK2a6PAgf31nrs1GbGTwqiZY+fCv33+Wc7Xd/u9DgwJIjgsjLT6cjMRISaCQELGqBrC3fe739I1IKj6f1YgvuOemxZCyglX4bZ/8lT8xS44NoyAjlsJMaTxoemLkkoviA1/4I93evqHslGi/zr94iUHu00YrN3/054C04ykrSPbPx1jMW+vE5Xa+8KMXAcmbp3x9KtvWp1OQGYtCLv+7Bvz3ADNAJfAZURSnrnrNfcB+URQ/4P3+IWCzKIofX+I9HwEe8X6bA7S+5gN8YxAJTFznY/hnwtr5mI+18zGLtXMxH9frfKSIorhopriipk0QhGNA7CL/9WXg58A3kMQK3wC+D7zvtR8niKL4K+BXr+c93kgIglC51Gr5VsTa+ZiPtfMxi7VzMR//jOdjxYAviuJNq3kjQRB+Dby0yH8NAklzvk/0/tsa1rCGNazhH4jXZRguCELcnG/vBhoWedllIEsQhDRBEFTAA8ALr+f3rmENa1jDGq4dr7dN8TuCIBQjUTo9wIcABEGIR5JfHhBF0SUIwseBw0iyzN+Jotj4On/vPxL/NPTSPwnWzsd8rJ2PWaydi/n4pzsf/9SNV2tYwxrWsIY3Dm/+GXBrWMMa1rCGVWEt4K9hDWtYw1sEawH/GiAIwmcEQRAFQYi83sdyPSEIwncFQWgRBKFOEIRnBUEIvd7H9I+GIAj7BUFoFQShQxCEL1zv47meEAQhSRCEE4IgNAmC0CgIwqeu9zFdbwiCIBcEoUYQhMWUi9cNawF/lRAEIQnYB/Rd72P5J8BRYJ0oikVIthlfvM7H8w+F1y7kp8AtQD7woCAI+df3qK4rXEhNl/nAFuBjb/HzAfApoPl6H8TVWAv4q8f/AP8GvOWr3KIoHhFF0WeWchGpt+KthE1AhyiKXaIoOoC/Ande52O6bhBFcVgUxWrv10akQJdwfY/q+kEQhETgVuA31/tYrsZawF8FBEG4ExgURfHK9T6Wf0K8D3jleh/EPxgJQP+c7wd4Cwe4uRAEIRUoAS5d50O5nvghUnK4+IDm64i37rigq7CChcSXkOictwyWOx+iKD7vfc2Xkbbzj/0jj20N/5wQBEEH/A34tCiKMyu9/v8iBEG4DRgTRbFKEIQbr/PhLMBawPdiKQsJQRAKgTTgiteZLxGoFgRhkyiKI//AQ/yHYiVLDUEQ3gPcBuwR33rNHGt2IVdBEAQlUrB/TBTFZ6738VxHbAPuEAThAKABggVBeFQUxXdd5+MC1hqvrhmCIPQAZaIovmVdAb0DbX4A3CCK4vhKr/+/BkEQFEjF6j1Igf4y8I43WQf5GwZByoT+CEyKovjp63w4/zTwZvifFUXxtut8KH6scfhreC34CRAEHBUEoVYQhF9c7wP6R8JbsPbZhTQDT75Vg70X24CHgN3e66HWm+Gu4Z8Maxn+GtawhjW8RbCW4a9hDWtYw1sEawF/DWtYwxreIlgL+GtYwxrW8BbBWsBfwxrWsIa3CNYC/hrWsIY1vEWwFvDXsIY1rOEtgrWAv4Y1rGENbxH8f7gqdlq1iFlCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(2)\n",
    "x = np.arange(-5, 5, 0.1)\n",
    "y = np.arange(-5, 5, 0.1)\n",
    "xx, yy = np.meshgrid(x, y, sparse=True)\n",
    "z = np.sin(xx**2 + yy**2) / (xx**2 + yy**2)\n",
    "ax1.contourf(x, y, z)\n",
    "ax2.contour(x, y, z)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2fa62559",
   "metadata": {
    "toc-hr-collapsed": true
   },
   "source": [
    "# 布局、图例说明、边界等"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d159ff7b",
   "metadata": {},
   "source": [
    "## 轴区间和上下限"
   ]
  },
  {
   "cell_type": "raw",
   "id": "e1ee591a",
   "metadata": {},
   "source": [
    "ax.set_xlim([xmin, xmax])   #设置X轴的区间\n",
    "ax.set_ylim([ymin, ymax])   #Y轴区间\n",
    "ax.axis([xmin, xmax, ymin, ymax])   #X、Y轴区间\n",
    "ax.set_ylim(bottom=-10)     #Y轴下限\n",
    "ax.set_xlim(right=25)       #X轴上限"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c82bef7",
   "metadata": {},
   "source": [
    "## 图例说明"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "89409b40",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.plot([1, 2, 3, 4], [10, 20, 25, 30], label='Philadelphia')\n",
    "ax.plot([1, 2, 3, 4], [30, 23, 13, 4], label='Boston')\n",
    "ax.scatter([1, 2, 3, 4], [20, 10, 30, 15], label='Point')\n",
    "ax.set(ylabel='Temperature (deg C)', xlabel='Time', title='A tale of two cities')\n",
    "ax.legend()\n",
    "plt.show()\n",
    "\n",
    "# 在绘图时传入 label 参数，并最后调用ax.legend()显示体力说明，对于 legend 还是传入参数，控制图例说明显示的位置：\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0ccbf1d",
   "metadata": {},
   "source": [
    "## 区间分段（轴的间隔，和轴的显示文本）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "b88e249c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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wp5s+e16bPwOe301PA/u66b8GTu2mjwA2TrrvLdyAZwE3A9/SvW97gZOB/wWes8g4bujG6Tu7x/8K/GI3/Trgfd30O4Bf66a3dmO+GXhGN1abumV/BPx0V8eV817vqEm/N2v1Bsx07+f+n/fzgV8F/gGY6ub9BINTiwEeP++5vzNvvD4AnDtvXB/brftB4KRu/iXAT3XTHweO76afDXyim74ZOHY9jdvILnlv2BuS/Gg3fRxwPINQ+EA370+By+a1vxigqq5J8pgkRy1Y34uAE5Lsf/yYJEcA1wHnJbkIuKyq7hx5T9an5wN/WVVfBUhyGfA9wB1Vdf28di/v/mLaCBzD4Jssb+qW7R+/ncCPzVvvjwJU1UeSfLmb/0IGIf3pbgwPB+5mEOZPTfJ24G+Aj424n+vNv1XVdd30nwK/DpwIXNm9rxuAu7rlJyb5HeAoBr+cP9rNP43BL02q6iHgniRHA5+rql1dm53ATPcZex7wF/M+e4/s7q8DLkhyCd/8WW7WIR3cSV7AIGifW1VfS3I18KhFmtYS04s9PozBluB/L5j/1iR/A5wOXJfkxVV160prF1/dP5HkKcCbgO+uqi8nuYBvHscHuvuHGP4zH+DCqvq1hy1Ivgt4MfAa4OXAz624+vVv4efiPmBvVT13kbYXAC+tqt1JzgZeMGTdD8ybfojBL9fDgK9U1UkPK6TqNUmeDfwwsDPJs6rqi306sVYd6vu4Hwt8uQvtpwPP6eYfBpzRTf8kcO285/wEQJLnA/dU1T0L1vkx4Bf3P0hyUnf/bVV1c1W9jcHXCDx9xH1Zrz4JvLTbR/otDLaSP7mgzWMYBPk9SZ7A4Lvjh7mOQfiS5AeBo7v5HwfOSPKt3bLHJXlyt//7sKq6FPhN4JkH2a/1bjrJ/pD+SeB6YGr/vCSbknxHt/xI4K4km4BXzlvHx4HXdu03JHnsUi9WVfcCn0vysq59ul+0+z97N1TVW4D/5Ju/e6lJh3pwfwTYmGQf8FYGP1wwCIFTMjjt6DTgt+c957+TfAZ4N3DOIut8A7AlyU1JbmGwdQZwbneA5Cbgf4ArRt+d9aeqbmSwRfYp4AbgfcCXF7TZDXwGuJXBMYbrGG4O+MFujF8G/DtwX1XdwiCYP9aN1ZUMdr0cC1ydZBeDP/0ftkWub3Ib8AvdZ+to4O0MNobelmQ3sIvBrg2A32IwttcxGMP93gh8f5KbGewSGfYPXF4JnNOtfy///38Dfq87oLyHwX723QfZt4nzkvdFJLm/qo5YZP7VwJuqasfqV6VRSvJI4KEafBfPc4F3LfZntpYvyQzw4ao6cdK1rFeH9D5uHdKmgUsyOAf868CrJ1yP1Jtb3JLUmEN9H7ckNcfglqTGGNyS1BiDW5IaY3BLUmP+D/JeAxe0Ixh2AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 上面不仅修改了X轴的区间段，并且修改了显示的信息为文本。\n",
    "\n",
    "data = [('apples', 2), ('oranges', 3), ('peaches', 1)]\n",
    "fruit, value = zip(*data)\n",
    "\n",
    "fig, (ax1, ax2) = plt.subplots(2)\n",
    "x = np.arange(len(fruit))\n",
    "ax1.bar(x, value, align='center', color='gray')\n",
    "ax2.bar(x, value, align='center', color='gray')\n",
    "\n",
    "ax2.set(xticks=x, xticklabels=fruit)\n",
    "\n",
    "#ax.tick_params(axis='y', direction='inout', length=10) #修改 ticks 的方向以及长度\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55ea679b",
   "metadata": {},
   "source": [
    "## 布局（调节子图的内间距与外间距）\n",
    "当我们绘画多个子图时，就会有一些美观的问题存在，例如子图之间的间隔，子图与画板的外边间距以及子图的内边距，下面说明这个问题："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "92161ef2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 648x648 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 2, figsize=(9, 9))\n",
    "fig.subplots_adjust(wspace=0.5, hspace=0.3,\n",
    "                    left=0.125, right=0.9,\n",
    "                    top=0.9,    bottom=0.1)\n",
    "\n",
    "#fig.tight_layout() #自动调整布局，使标题之间不重叠\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "raw",
   "id": "5264c317",
   "metadata": {},
   "source": [
    "\n",
    "通过fig.subplots_adjust()我们修改了子图水平之间的间隔wspace=0.5，\n",
    "垂直方向上的间距hspace=0.3，左边距left=0.125 等等，这里数值都是百分比的。\n",
    "以 [0, 1] 为区间，选择left、right、bottom、top 注意 top 和 right 是 0.9 表示上、\n",
    "右边距为百分之10。不确定如果调整的时候，fig.tight_layout()是一个很好的选择。\n",
    "之前说到了内边距，内边距是子图的，也就是 Axes 对象，所以这样使用 ax.margins(x=0.1, y=0.1)，\n",
    "当值传入一个值时，表示同时修改水平和垂直方向的内边距。\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b76a314a",
   "metadata": {},
   "source": [
    "## 轴相关（改变边界的位置，去掉四周的边框）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "b59badff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.plot([-2, 2, 3, 4], [-10, 20, 25, 5])\n",
    "ax.spines['top'].set_visible(False)     #顶边界不可见\n",
    "ax.xaxis.set_ticks_position('bottom')  # ticks 的位置为下方，分上下的。\n",
    "ax.spines['right'].set_visible(False)   #右边界不可见\n",
    "ax.yaxis.set_ticks_position('left')  \n",
    "\n",
    "# \"outward\"\n",
    "# 移动左、下边界离 Axes 10 个距离\n",
    "#ax.spines['bottom'].set_position(('outward', 10))\n",
    "#ax.spines['left'].set_position(('outward', 10))\n",
    "\n",
    "# \"data\"\n",
    "# 移动左、下边界到 (0, 0) 处相交\n",
    "ax.spines['bottom'].set_position(('data', 0))\n",
    "ax.spines['left'].set_position(('data', 0))\n",
    "\n",
    "# \"axes\"\n",
    "# 移动边界，按 Axes 的百分比位置\n",
    "#ax.spines['bottom'].set_position(('axes', 0.75))\n",
    "#ax.spines['left'].set_position(('axes', 0.3))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "af68ce90",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "303.837px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  },
  "toc-autonumbering": true,
  "toc-showcode": false,
  "toc-showmarkdowntxt": true,
  "toc-showtags": true
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
